blabla/WOS/wos_extract/wos_query_generator_simplesyntax.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "import pandas as pd\n",
    "focal_countries_list = [\"Peoples R china\", \"Hong Kong\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "outputs": [],
   "source": [
    "country_mode = \"CU\" #CU-country-region AU-address"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "outputs": [],
   "source": [
    "# (TS=(\"artificial intelligence\") OR TS=(\"machine learning\") OR TS=(\"neural network\") OR TS=(\"big data\") OR TS=(\"deep learning\") OR TS=(\"computer vision\") OR TS=(\"pattern recognition\")) AND"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "outputs": [],
   "source": [
    "keywords_source = r'..\\ai_scope_keywords.txt'\n",
    "with open(keywords_source,'r') as f:\n",
    "    keywords = \"\\n\".join(f.readlines()).replace('\\n','')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "outputs": [
    {
     "data": {
      "text/plain": "'artificial intelligence*,machine* learn*,neural network*,big data*,deep learn*,pattern recognition,computer vision,image classification,reinforcement learning,support vector machine*,recommender system*,random forest*,ensemble model*,image processing,generative network*,ai ethic*,natural language processing,clustering algorithm*,feature extraction,time series forecast*,anomaly detection,identity fraud detection,dimensionality reduction,feature elicitation,chatbot*,clustering,*supervised learning,convolutional network*,convolutional neural,adversarial network*,adversarial neural,adversarial machine*,autoencoder*,gated recurrent unit*,perceptron*,feature learning,feature engineering,long short-term memor*,word embedding*,word vector*,gradient descent,k-nearest neighbor*,naive bayes,transfer learning,fuzzy logic*,backpropagation,computational modeling,computational statistic*,intelligent agent*,expert system*,decision tree*,Bayesian network*,genetic algorithm*,swarm intelligence,cognitive computing,artificial neural network*,convolutional neural network*,recurrent neural network*,ensemble learning,data mining,artificial general intelligence,artificial consciousness,evolutionary algorithm*,self-organizing map*,deep reinforcement learning,adversarial machine learning,machine vision,neural-symbolic integration,probabilistic graphical model*,hybrid intelligent system*,machine creativity,explainable AI,interactive machine learning,artificial emotional intelligence,evolutionary computation*,human-in-the-loop,unsupervised deep learning,deep belief network*,quantum machine learning,artificial immune system*,swarm robotics,autonomous agent*,machine ethic*,collaborative filtering,content based filtering,pervasive computing,ubiquitous computing,human-computer interaction,cloud computing,Internet of Things,artificial cognition,computational creativity,sentiment analy*,robotics,boltzmann machine*,kernel machine*,Hopfield network*,Hebbian learning,latent factor model*,non-negative matrix factorization,independent component analysis,principal component analysis,data augmentation,image segmentation,autoregressive language model*,generative pre-trained transformer*,smart city,smart home,smart grid,smart health,smart manufacturing,smart agriculture,smart environment,smart energy,smart mobility,smart buildings,smart tourism,smart logistics,smart supply chain,smart retail,smart waste management,smart parking,smart governance,smart education,smart technolog*,smart diagnostic*,data* analytic*,hadoop*,mapreduce,map$reduce,large$ dataset*,data warehouse*,predictive analytic*,no$sql,nosql,no sql,unstructured data*,data science*,facial recognition,t$SNE,KNN,singular value decomposition,regularization,turing test,computational learning theory,backward chaining,forward chaining,entity annotation,entity extraction,scalable computing,expectation maximization algorithm*,markov chain,markov process,markov decision process,monte carlo method,bayesian inference,kernel method,eigendecomposition,eigen decomposition,radial basis function,QR decomposition,LU decomposition,Cholesky decomposition,spectral theorem,model selection,lagrange multiplier,convex optimization,nonlinear optimization,L? regulari*,ridge regression,gaussian process,manifold learning,locally linear embedding*,vector database*,vector embedding*,text mining,human-robot interact*,semantic web*,fuzzy set*,face recognition &! brain,object detection &! brain,multi agent system*,speech recognition &! brain,brain computer interface,intelligent robot*,remote sensing,image reconstruction,representation learning,data augmentation,adversarial robustness,meta learning,learning system,adversarial training,adversarial example*,generative model*,large langauge model*,few shot learning,image representation,optimization algorithm,swarm optimization,variational inference,kalman network*,knowledge distillation,kernel learning,classifier,lasso regression'"
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keywords"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "outputs": [],
   "source": [
    "keywords = [c.strip() for c in keywords.split(\",\")]"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "outputs": [],
   "source": [
    "def wos_kw_formatter(text):\n",
    "    if \"&!\" in text:\n",
    "        return('('+' NOT '.join('\\\"'+sub_text.strip()+'\\\"' for sub_text in text.split('&!'))+')')\n",
    "    else:\n",
    "        return '\\\"'+text+'\\\"'\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "outputs": [
    {
     "data": {
      "text/plain": "'\"artificial intelligence*\" OR \"machine* learn*\" OR \"neural network*\" OR \"big data*\" OR \"deep learn*\" OR \"pattern recognition\" OR \"computer vision\" OR \"image classification\" OR \"reinforcement learning\" OR \"support vector machine*\" OR \"recommender system*\" OR \"random forest*\" OR \"ensemble model*\" OR \"image processing\" OR \"generative network*\" OR \"ai ethic*\" OR \"natural language processing\" OR \"clustering algorithm*\" OR \"feature extraction\" OR \"time series forecast*\" OR \"anomaly detection\" OR \"identity fraud detection\" OR \"dimensionality reduction\" OR \"feature elicitation\" OR \"chatbot*\" OR \"clustering\" OR \"*supervised learning\" OR \"convolutional network*\" OR \"convolutional neural\" OR \"adversarial network*\" OR \"adversarial neural\" OR \"adversarial machine*\" OR \"autoencoder*\" OR \"gated recurrent unit*\" OR \"perceptron*\" OR \"feature learning\" OR \"feature engineering\" OR \"long short-term memor*\" OR \"word embedding*\" OR \"word vector*\" OR \"gradient descent\" OR \"k-nearest neighbor*\" OR \"naive bayes\" OR \"transfer learning\" OR \"fuzzy logic*\" OR \"backpropagation\" OR \"computational modeling\" OR \"computational statistic*\" OR \"intelligent agent*\" OR \"expert system*\" OR \"decision tree*\" OR \"Bayesian network*\" OR \"genetic algorithm*\" OR \"swarm intelligence\" OR \"cognitive computing\" OR \"artificial neural network*\" OR \"convolutional neural network*\" OR \"recurrent neural network*\" OR \"ensemble learning\" OR \"data mining\" OR \"artificial general intelligence\" OR \"artificial consciousness\" OR \"evolutionary algorithm*\" OR \"self-organizing map*\" OR \"deep reinforcement learning\" OR \"adversarial machine learning\" OR \"machine vision\" OR \"neural-symbolic integration\" OR \"probabilistic graphical model*\" OR \"hybrid intelligent system*\" OR \"machine creativity\" OR \"explainable AI\" OR \"interactive machine learning\" OR \"artificial emotional intelligence\" OR \"evolutionary computation*\" OR \"human-in-the-loop\" OR \"unsupervised deep learning\" OR \"deep belief network*\" OR \"quantum machine learning\" OR \"artificial immune system*\" OR \"swarm robotics\" OR \"autonomous agent*\" OR \"machine ethic*\" OR \"collaborative filtering\" OR \"content based filtering\" OR \"pervasive computing\" OR \"ubiquitous computing\" OR \"human-computer interaction\" OR \"cloud computing\" OR \"Internet of Things\" OR \"artificial cognition\" OR \"computational creativity\" OR \"sentiment analy*\" OR \"robotics\" OR \"boltzmann machine*\" OR \"kernel machine*\" OR \"Hopfield network*\" OR \"Hebbian learning\" OR \"latent factor model*\" OR \"non-negative matrix factorization\" OR \"independent component analysis\" OR \"principal component analysis\" OR \"data augmentation\" OR \"image segmentation\" OR \"autoregressive language model*\" OR \"generative pre-trained transformer*\" OR \"smart city\" OR \"smart home\" OR \"smart grid\" OR \"smart health\" OR \"smart manufacturing\" OR \"smart agriculture\" OR \"smart environment\" OR \"smart energy\" OR \"smart mobility\" OR \"smart buildings\" OR \"smart tourism\" OR \"smart logistics\" OR \"smart supply chain\" OR \"smart retail\" OR \"smart waste management\" OR \"smart parking\" OR \"smart governance\" OR \"smart education\" OR \"smart technolog*\" OR \"smart diagnostic*\" OR \"data* analytic*\" OR \"hadoop*\" OR \"mapreduce\" OR \"map$reduce\" OR \"large$ dataset*\" OR \"data warehouse*\" OR \"predictive analytic*\" OR \"no$sql\" OR \"nosql\" OR \"no sql\" OR \"unstructured data*\" OR \"data science*\" OR \"facial recognition\" OR \"t$SNE\" OR \"KNN\" OR \"singular value decomposition\" OR \"regularization\" OR \"turing test\" OR \"computational learning theory\" OR \"backward chaining\" OR \"forward chaining\" OR \"entity annotation\" OR \"entity extraction\" OR \"scalable computing\" OR \"expectation maximization algorithm*\" OR \"markov chain\" OR \"markov process\" OR \"markov decision process\" OR \"monte carlo method\" OR \"bayesian inference\" OR \"
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keywords_str = ' OR '.join(wos_kw_formatter(k) for k in keywords)\n",
    "keywords_str"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "outputs": [
    {
     "data": {
      "text/plain": "206"
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(keywords)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "outputs": [],
   "source": [
    "scope_country_source = r'..\\eu_scope_countries.txt'\n",
    "\n",
    "with open(scope_country_source,'r') as f:\n",
    "    coop_countries = f.readlines()\n",
    "coop_countries = [c.strip().upper() for c in coop_countries[0].split(\",\")]\n",
    "focal_countries = [c.strip().upper() for c in focal_countries_list]\n",
    "eu_countries = coop_countries[0:-7]\n",
    "assoc_countries = coop_countries[-7:]\n",
    "\n",
    "nor_c = [coop_countries[-7],]\n",
    "swi_c = [coop_countries[-6],]\n",
    "uk_c = coop_countries[-5:]\n",
    "\n",
    "foc_str = ' OR '.join([c for c in focal_countries])\n",
    "coop_str = ' OR '.join([c for c in coop_countries])\n",
    "eu_str = ' OR '.join([c for c in eu_countries])\n",
    "assoc_str = ' OR '.join([c for c in assoc_countries])\n",
    "\n",
    "nor_str =' OR '.join([c for c in nor_c])\n",
    "swi_str =' OR '.join([c for c in swi_c])\n",
    "uk_str =' OR '.join([c for c in uk_c])\n",
    "eu_sub_str = eu_str.split(' OR ')\n",
    "# eu_sub_str"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "outputs": [
    {
     "data": {
      "text/plain": "'AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND'"
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eu_assoc = ' OR '.join([eu_str,nor_str,swi_str,uk_str])\n",
    "eu_assoc"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "outputs": [
    {
     "data": {
      "text/plain": "'PEOPLES R CHINA OR HONG KONG'"
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foc_str"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "outputs": [
    {
     "data": {
      "text/plain": "'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"artificial intelligence*\" OR \"machine* learn*\" OR \"neural network*\" OR \"big data*\" OR \"deep learn*\" OR \"pattern recognition\" OR \"computer vision\" OR \"image classification\" OR \"reinforcement learning\" OR \"support vector machine*\" OR \"recommender system*\" OR \"random forest*\" OR \"ensemble model*\" OR \"image processing\" OR \"generative network*\" OR \"ai ethic*\" OR \"natural language processing\" OR \"clustering algorithm*\" OR \"feature extraction\" OR \"time series forecast*\" OR \"anomaly detection\" OR \"identity fraud detection\" OR \"dimensionality reduction\" OR \"feature elicitation\" OR \"chatbot*\" OR \"clustering\" OR \"*supervised learning\" OR \"convolutional network*\" OR \"convolutional neural\" OR \"adversarial network*\" OR \"adversarial neural\" OR \"adversarial machine*\" OR \"autoencoder*\" OR \"gated recurrent unit*\" OR \"perceptron*\" OR \"feature learning\" OR \"feature engineering\" OR \"long short-term memor*\" OR \"word embedding*\" OR \"word vector*\" OR \"gradient descent\" OR \"k-nearest neighbor*\" OR \"naive bayes\" OR \"transfer learning\" OR \"fuzzy logic*\" OR \"backpropagation\" OR \"computational modeling\" OR \"computational statistic*\" OR \"intelligent agent*\" OR \"expert system*\" OR \"decision tree*\" OR \"Bayesian network*\" OR \"genetic algorithm*\" OR \"swarm intelligence\" OR \"cognitive computing\" OR \"artificial neural network*\" OR \"convolutional neural network*\" OR \"recurrent neural network*\" OR \"ensemble learning\" OR \"data mining\" OR \"artificial general intelligence\" OR \"artificial consciousness\" OR \"evolutionary algorithm*\" OR \"self-organizing map*\" OR \"deep reinforcement learning\" OR \"adversarial machine learning\" OR \"machine vision\" OR \"neural-symbolic integration\" OR \"probabilistic graphical model*\" OR \"hybrid intelligent system*\" OR \"machine creativity\" OR \"explainable AI\" OR \"interactive machine learning\" OR \"artificial emotional intelligence\" OR \"evolutionary computation*\" OR \"human-in-the-loop\" OR \"unsupervised deep learning\" OR \"deep belief network*\" OR \"quantum machine learning\" OR \"artificial immune system*\" OR \"swarm robotics\" OR \"autonomous agent*\" OR \"machine ethic*\" OR \"collaborative filtering\" OR \"content based filtering\" OR \"pervasive computing\" OR \"ubiquitous computing\" OR \"human-computer interaction\" OR \"cloud computing\" OR \"Internet of Things\" OR \"artificial cognition\" OR \"computational creativity\" OR \"sentiment analy*\" OR \"robotics\" OR \"boltzmann machine*\" OR \"kernel machine*\" OR \"Hopfield network*\" OR \"Hebbian learning\" OR \"latent factor model*\" OR \"non-negative matrix factorization\" OR \"independent component analysis\" OR \"principal component analysis\" OR \"data augmentation\" OR \"image segmentation\" OR \"autoregressive language model*\" OR \"generative pre-trained transformer*\" OR \"smart city\" OR \"smart home\" OR \"smart grid\" OR \"smart health\" OR \"smart manufacturing\" OR \"smart agriculture\" OR \"smart environment\" OR \"smart energy\" OR \"smart mobility\" OR \"smart buildings\" OR \"smart tourism\" OR \"smart logistics\" OR \"smart supply chain\" OR \"smart retail\" OR \"smart waste management\" OR \"smart parking\" OR \"smart governance\" OR \"smart education\" OR \"smart technolog*\" OR \"smart diagnostic*\" OR \"data* analytic*\" OR \"hadoop*\" OR \"mapreduce\" OR \"map$reduce\" OR \"large$ dataset*\" OR \"data warehouse*\" OR \"predictive analytic*\" OR \"no$sql\" OR \"nosql\" OR \"no sql\" OR \"unstructured data*\" OR \"data science*\" OR \"facial recogniti
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scope_query = f'CU=({foc_str}) AND CU=({eu_assoc}) AND TS=({keywords_str}) AND PY=(2011-2022)'\n",
    "scope_query"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "outputs": [],
   "source": [
    "from wossel_miners import wos_fetch_entries,wos_fetch_yearly_output"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "outputs": [],
   "source": [
    "keywords_sub_str = keywords_str.split(' OR ')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "outputs": [
    {
     "data": {
      "text/plain": "['\"identity fraud detection\"',\n '\"dimensionality reduction\"',\n '\"feature elicitation\"',\n '\"chatbot*\"',\n '\"clustering\"',\n '\"*supervised learning\"',\n '\"convolutional network*\"',\n '\"convolutional neural\"',\n '\"adversarial network*\"',\n '\"adversarial neural\"',\n '\"adversarial machine*\"',\n '\"autoencoder*\"',\n '\"gated recurrent unit*\"',\n '\"perceptron*\"',\n '\"feature learning\"',\n '\"feature engineering\"',\n '\"long short-term memor*\"',\n '\"word embedding*\"',\n '\"word vector*\"',\n '\"gradient descent\"',\n '\"k-nearest neighbor*\"',\n '\"naive bayes\"',\n '\"transfer learning\"',\n '\"fuzzy logic*\"',\n '\"backpropagation\"',\n '\"computational modeling\"',\n '\"computational statistic*\"',\n '\"intelligent agent*\"',\n '\"expert system*\"',\n '\"decision tree*\"',\n '\"Bayesian network*\"',\n '\"genetic algorithm*\"',\n '\"swarm intelligence\"',\n '\"cognitive computing\"',\n '\"artificial neural network*\"',\n '\"convolutional neural network*\"',\n '\"recurrent neural network*\"',\n '\"ensemble learning\"',\n '\"data mining\"',\n '\"artificial general intelligence\"',\n '\"artificial consciousness\"',\n '\"evolutionary algorithm*\"',\n '\"self-organizing map*\"',\n '\"deep reinforcement learning\"',\n '\"adversarial machine learning\"',\n '\"machine vision\"',\n '\"neural-symbolic integration\"',\n '\"probabilistic graphical model*\"',\n '\"hybrid intelligent system*\"',\n '\"machine creativity\"',\n '\"explainable AI\"',\n '\"interactive machine learning\"',\n '\"artificial emotional intelligence\"',\n '\"evolutionary computation*\"',\n '\"human-in-the-loop\"',\n '\"unsupervised deep learning\"',\n '\"deep belief network*\"',\n '\"quantum machine learning\"',\n '\"artificial immune system*\"',\n '\"swarm robotics\"',\n '\"autonomous agent*\"',\n '\"machine ethic*\"',\n '\"collaborative filtering\"',\n '\"content based filtering\"',\n '\"pervasive computing\"',\n '\"ubiquitous computing\"',\n '\"human-computer interaction\"',\n '\"cloud computing\"',\n '\"Internet of Things\"',\n '\"artificial cognition\"',\n '\"computational creativity\"',\n '\"sentiment analy*\"',\n '\"robotics\"',\n '\"boltzmann machine*\"',\n '\"kernel machine*\"',\n '\"Hopfield network*\"',\n '\"Hebbian learning\"',\n '\"latent factor model*\"',\n '\"non-negative matrix factorization\"',\n '\"independent component analysis\"',\n '\"principal component analysis\"',\n '\"data augmentation\"',\n '\"image segmentation\"',\n '\"autoregressive language model*\"',\n '\"generative pre-trained transformer*\"',\n '\"smart city\"',\n '\"smart home\"',\n '\"smart grid\"',\n '\"smart health\"',\n '\"smart manufacturing\"',\n '\"smart agriculture\"',\n '\"smart environment\"',\n '\"smart energy\"',\n '\"smart mobility\"',\n '\"smart buildings\"',\n '\"smart tourism\"',\n '\"smart logistics\"',\n '\"smart supply chain\"',\n '\"smart retail\"',\n '\"smart waste management\"',\n '\"smart parking\"',\n '\"smart governance\"',\n '\"smart education\"',\n '\"smart technolog*\"',\n '\"smart diagnostic*\"',\n '\"data* analytic*\"',\n '\"hadoop*\"',\n '\"mapreduce\"',\n '\"map$reduce\"',\n '\"large$ dataset*\"',\n '\"data warehouse*\"',\n '\"predictive analytic*\"',\n '\"no$sql\"',\n '\"nosql\"',\n '\"no sql\"',\n '\"unstructured data*\"',\n '\"data science*\"',\n '\"facial recognition\"',\n '\"t$SNE\"',\n '\"KNN\"',\n '\"singular value decomposition\"',\n '\"regularization\"',\n '\"turing test\"',\n '\"computational learning theory\"',\n '\"backward chaining\"',\n '\"forward chaining\"',\n '\"entity annotation\"',\n '\"entity extraction\"',\n '\"scalable computing\"',\n '\"expectation maximization algorithm*\"',\n '\"markov chain\"',\n '\"markov process\"',\n '\"markov decision process\"',\n '\"monte carlo method\"',\n '\"bayesian inference\"',\n '\"kernel method\"',\n '\"eigendecomposition\"',\n '\"eigen decomposition\"',\n '\"radial basis function\"',\n '\"QR decomposition\"',\n '\"LU decomposition\"',\n '\"Cholesky decomposition\"',\n '\"spectral theorem\"',\n '\"model selection\"',\n '\"lagrange multiplier\
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keywords_sub_str[21:]"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "outputs": [
    {
     "data": {
      "text/plain": "['\"manifold learning\"',\n '\"locally linear embedding*\"',\n '\"vector database*\"',\n '\"vector embedding*\"',\n '\"text mining\"',\n '\"human-robot interact*\"',\n '\"semantic web*\"',\n '\"fuzzy set*\"',\n '(\"face recognition\" NOT \"brain\")',\n '(\"object detection\" NOT \"brain\")',\n '\"multi agent system*\"',\n '(\"speech recognition\" NOT \"brain\")',\n '\"brain computer interface\"',\n '\"intelligent robot*\"',\n '\"remote sensing\"',\n '\"image reconstruction\"',\n '\"representation learning\"',\n '\"data augmentation\"',\n '\"adversarial robustness\"',\n '\"meta learning\"',\n '\"learning system\"',\n '\"adversarial training\"',\n '\"adversarial example*\"',\n '\"generative model*\"',\n '\"large langauge model*\"',\n '\"few shot learning\"',\n '\"image representation\"',\n '\"optimization algorithm\"',\n '\"swarm optimization\"',\n '\"variational inference\"',\n '\"kalman network*\"',\n '\"knowledge distillation\"',\n '\"kernel learning\"',\n '\"classifier\"',\n '\"lasso regression\"']"
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keywords_sub_str[171:]"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"manifold learning\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"manifold learning\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:36<00:00, 18.40s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"locally linear embedding*\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"locally linear embedding*\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:39<00:00, 19.66s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"vector database*\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"vector database*\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 50%|█████     | 1/2 [01:05<01:05, 65.81s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No results\n",
      "('TS=(\"vector embedding*\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"vector embedding*\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:47<00:00, 23.81s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"text mining\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"text mining\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:36<00:00, 18.40s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"human-robot interact*\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"human-robot interact*\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:43<00:00, 21.64s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"semantic web*\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"semantic web*\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:36<00:00, 18.15s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"fuzzy set*\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"fuzzy set*\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:44<00:00, 22.43s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=((\"face recognition\" NOT \"brain\")) AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=((\"face recognition\" NOT \"brain\")) AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:35<00:00, 17.71s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=((\"object detection\" NOT \"brain\")) AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=((\"object detection\" NOT \"brain\")) AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:36<00:00, 18.43s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"multi agent system*\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"multi agent system*\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:45<00:00, 22.80s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=((\"speech recognition\" NOT \"brain\")) AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=((\"speech recognition\" NOT \"brain\")) AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:37<00:00, 18.81s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"brain computer interface\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"brain computer interface\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:43<00:00, 21.82s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"intelligent robot*\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"intelligent robot*\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:34<00:00, 17.30s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"remote sensing\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"remote sensing\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:46<00:00, 23.03s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"image reconstruction\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"image reconstruction\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:34<00:00, 17.31s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"representation learning\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"representation learning\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:37<00:00, 18.52s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"data augmentation\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"data augmentation\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:42<00:00, 21.36s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"adversarial robustness\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"adversarial robustness\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:37<00:00, 18.51s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"meta learning\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"meta learning\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:39<00:00, 19.80s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"learning system\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"learning system\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:37<00:00, 18.57s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"adversarial training\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"adversarial training\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:34<00:00, 17.21s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"adversarial example*\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"adversarial example*\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:36<00:00, 18.07s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"generative model*\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"generative model*\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:34<00:00, 17.48s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"large langauge model*\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"large langauge model*\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/2 [00:53<?, ?it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No results\n",
      "('TS=(\"few shot learning\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"few shot learning\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:37<00:00, 18.59s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"image representation\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"image representation\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:36<00:00, 18.46s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"optimization algorithm\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"optimization algorithm\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:46<00:00, 23.14s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"swarm optimization\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"swarm optimization\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:37<00:00, 18.56s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"variational inference\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"variational inference\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:38<00:00, 19.20s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"kalman network*\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"kalman network*\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 50%|█████     | 1/2 [01:08<01:08, 68.66s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No results\n",
      "('TS=(\"knowledge distillation\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"knowledge distillation\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:45<00:00, 22.52s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"kernel learning\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"kernel learning\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:43<00:00, 21.55s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"classifier\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"classifier\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:41<00:00, 20.81s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('TS=(\"lasso regression\") AND PY=(2011-2022)', 'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"lasso regression\") AND PY=(2011-2022)')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [00:52<00:00, 26.21s/it]\n"
     ]
    }
   ],
   "source": [
    "from selenium.common.exceptions import TimeoutException\n",
    "\n",
    "\n",
    "for kw in keywords_sub_str[171:]:\n",
    "    test_query_all = f'TS=({kw}) AND PY=(2011-2022)'\n",
    "    test_query_coop = f'CU=({foc_str}) AND CU=({eu_assoc}) AND TS=({kw}) AND PY=(2011-2022)'\n",
    "    sub_queries = tuple([test_query_all,test_query_coop])\n",
    "    print(sub_queries)\n",
    "    try:\n",
    "        wos_fetch_yearly_output(query_str_list=sub_queries)\n",
    "    except TimeoutException:\n",
    "        print('No results')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"artificial intelligence*\" OR \"machine* learn*\" OR \"neural network*\" OR \"big data*\" OR \"deep learn*\" OR \"pattern recognition\" OR \"computer vision\" OR \"image classification\" OR \"reinforcement learning\" OR \"support vector machine*\" OR \"recommender system*\" OR \"random forest*\" OR \"ensemble model*\" OR \"image processing\" OR \"generative network*\" OR \"ai ethic*\" OR \"natural language processing\" OR \"clustering algorithm*\" OR \"feature extraction\" OR \"time series forecast*\" OR \"anomaly detection\" OR \"identity fraud detection\" OR \"dimensionality reduction\" OR \"feature elicitation\" OR \"chatbot*\" OR \"clustering\" OR \"*supervised learning\" OR \"convolutional network*\" OR \"convolutional neural\" OR \"adversarial network*\" OR \"adversarial neural\" OR \"adversarial machine*\" OR \"autoencoder*\" OR \"gated recurrent unit*\" OR \"perceptron*\" OR \"feature learning\" OR \"feature engineering\" OR \"long short-term memor*\" OR \"word embedding*\" OR \"word vector*\" OR \"gradient descent\" OR \"k-nearest neighbor*\" OR \"naive bayes\" OR \"transfer learning\" OR \"fuzzy logic*\" OR \"backpropagation\" OR \"computational modeling\" OR \"computational statistic*\" OR \"intelligent agent*\" OR \"expert system*\" OR \"decision tree*\" OR \"Bayesian network*\" OR \"genetic algorithm*\" OR \"swarm intelligence\" OR \"cognitive computing\" OR \"artificial neural network*\" OR \"convolutional neural network*\" OR \"recurrent neural network*\" OR \"ensemble learning\" OR \"data mining\" OR \"artificial general intelligence\" OR \"artificial consciousness\" OR \"evolutionary algorithm*\" OR \"self-organizing map*\" OR \"deep reinforcement learning\" OR \"adversarial machine learning\" OR \"machine vision\" OR \"neural-symbolic integration\" OR \"probabilistic graphical model*\" OR \"hybrid intelligent system*\" OR \"machine creativity\" OR \"explainable AI\" OR \"interactive machine learning\" OR \"artificial emotional intelligence\" OR \"evolutionary computation*\" OR \"human-in-the-loop\" OR \"unsupervised deep learning\" OR \"deep belief network*\" OR \"quantum machine learning\" OR \"artificial immune system*\" OR \"swarm robotics\" OR \"autonomous agent*\" OR \"machine ethic*\" OR \"collaborative filtering\" OR \"content based filtering\" OR \"pervasive computing\" OR \"ubiquitous computing\" OR \"human-computer interaction\" OR \"cloud computing\" OR \"Internet of Things\" OR \"artificial cognition\" OR \"computational creativity\" OR \"sentiment analy*\" OR \"robotics\" OR \"boltzmann machine*\" OR \"kernel machine*\" OR \"Hopfield network*\" OR \"Hebbian learning\" OR \"latent factor model*\" OR \"non-negative matrix factorization\" OR \"independent component analysis\" OR \"principal component analysis\" OR \"data augmentation\" OR \"image segmentation\" OR \"autoregressive language model*\" OR \"generative pre-trained transformer*\" OR \"smart city\" OR \"smart home\" OR \"smart grid\" OR \"smart health\" OR \"smart manufacturing\" OR \"smart agriculture\" OR \"smart environment\" OR \"smart energy\" OR \"smart mobility\" OR \"smart buildings\" OR \"smart tourism\" OR \"smart logistics\" OR \"smart supply chain\" OR \"smart retail\" OR \"smart waste management\" OR \"smart parking\" OR \"smart governance\" OR \"smart education\" OR \"smart technolog*\" OR \"smart diagnostic*\" OR \"data* analytic*\" OR \"hadoop*\" OR \"mapreduce\" OR \"map$reduce\" OR \"large$ dataset*\" OR \"data warehouse*\" OR \"predictive analytic*\" OR \"no$sql\" OR \"nosql\" OR \"no sql\" OR \"unstructured data*\" OR \"data science*\" OR \"facial recognition\" OR \"t$S
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/2 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"artificial intelligence*\" OR \"machine* learn*\" OR \"neural network*\" OR \"big data*\" OR \"deep learn*\" OR \"pattern recognition\" OR \"computer vision\" OR \"image classification\" OR \"reinforcement learning\" OR \"support vector machine*\" OR \"recommender system*\" OR \"random forest*\" OR \"ensemble model*\" OR \"image processing\" OR \"generative network*\" OR \"ai ethic*\" OR \"natural language processing\" OR \"clustering algorithm*\" OR \"feature extraction\" OR \"time series forecast*\" OR \"anomaly detection\" OR \"identity fraud detection\" OR \"dimensionality reduction\" OR \"feature elicitation\" OR \"chatbot*\" OR \"clustering\" OR \"*supervised learning\" OR \"convolutional network*\" OR \"convolutional neural\" OR \"adversarial network*\" OR \"adversarial neural\" OR \"adversarial machine*\" OR \"autoencoder*\" OR \"gated recurrent unit*\" OR \"perceptron*\" OR \"feature learning\" OR \"feature engineering\" OR \"long short-term memor*\" OR \"word embedding*\" OR \"word vector*\" OR \"gradient descent\" OR \"k-nearest neighbor*\" OR \"naive bayes\" OR \"transfer learning\" OR \"fuzzy logic*\" OR \"backpropagation\" OR \"computational modeling\" OR \"computational statistic*\" OR \"intelligent agent*\" OR \"expert system*\" OR \"decision tree*\" OR \"Bayesian network*\" OR \"genetic algorithm*\" OR \"swarm intelligence\" OR \"cognitive computing\" OR \"artificial neural network*\" OR \"convolutional neural network*\" OR \"recurrent neural network*\" OR \"ensemble learning\" OR \"data mining\" OR \"artificial general intelligence\" OR \"artificial consciousness\" OR \"evolutionary algorithm*\" OR \"self-organizing map*\" OR \"deep reinforcement learning\" OR \"adversarial machine learning\" OR \"machine vision\" OR \"neural-symbolic integration\" OR \"probabilistic graphical model*\" OR \"hybrid intelligent system*\" OR \"machine creativity\" OR \"explainable AI\" OR \"interactive machine learning\" OR \"artificial emotional intelligence\" OR \"evolutionary computation*\" OR \"human-in-the-loop\" OR \"unsupervised deep learning\" OR \"deep belief network*\" OR \"quantum machine learning\" OR \"artificial immune system*\" OR \"swarm robotics\" OR \"autonomous agent*\" OR \"machine ethic*\" OR \"collaborative filtering\" OR \"content based filtering\" OR \"pervasive computing\" OR \"ubiquitous computing\" OR \"human-computer interaction\" OR \"cloud computing\" OR \"Internet of Things\" OR \"artificial cognition\" OR \"computational creativity\" OR \"sentiment analy*\" OR \"robotics\" OR \"boltzmann machine*\" OR \"kernel machine*\" OR \"Hopfield network*\" OR \"Hebbian learning\" OR \"latent factor model*\" OR \"non-negative matrix factorization\" OR \"independent component analysis\" OR \"principal component analysis\" OR \"data augmentation\" OR \"image segmentation\" OR \"autoregressive language model*\" OR \"generative pre-trained transformer*\" OR \"smart city\" OR \"smart home\" OR \"smart grid\" OR \"smart health\" OR \"smart manufacturing\" OR \"smart agriculture\" OR \"smart environment\" OR \"smart energy\" OR \"smart mobility\" OR \"smart buildings\" OR \"smart tourism\" OR \"smart logistics\" OR \"smart supply chain\" OR \"smart retail\" OR \"smart waste management\" OR \"smart parking\" OR \"smart governance\" OR \"smart education\" OR \"smart technolog*\" OR \"smart diagnostic*\" OR \"data* analytic*\" OR \"hadoop*\" OR \"mapreduce\" OR \"map$reduce\" OR \"large$ dataset*\" OR \"data warehouse*\" OR \"predictive analytic*\" OR \"no$sql\" OR \"nosql\" OR \"no sql\" OR \"unstructured data*\" OR \"data science*\" OR \"facial recognition\" OR \"t$SNE
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 50%|█████     | 1/2 [00:39<00:39, 39.02s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TS=(\"artificial intelligence*\" OR \"machine* learn*\" OR \"neural network*\" OR \"big data*\" OR \"deep learn*\" OR \"pattern recognition\" OR \"computer vision\" OR \"image classification\" OR \"reinforcement learning\" OR \"support vector machine*\" OR \"recommender system*\" OR \"random forest*\" OR \"ensemble model*\" OR \"image processing\" OR \"generative network*\" OR \"ai ethic*\" OR \"natural language processing\" OR \"clustering algorithm*\" OR \"feature extraction\" OR \"time series forecast*\" OR \"anomaly detection\" OR \"identity fraud detection\" OR \"dimensionality reduction\" OR \"feature elicitation\" OR \"chatbot*\" OR \"clustering\" OR \"*supervised learning\" OR \"convolutional network*\" OR \"convolutional neural\" OR \"adversarial network*\" OR \"adversarial neural\" OR \"adversarial machine*\" OR \"autoencoder*\" OR \"gated recurrent unit*\" OR \"perceptron*\" OR \"feature learning\" OR \"feature engineering\" OR \"long short-term memor*\" OR \"word embedding*\" OR \"word vector*\" OR \"gradient descent\" OR \"k-nearest neighbor*\" OR \"naive bayes\" OR \"transfer learning\" OR \"fuzzy logic*\" OR \"backpropagation\" OR \"computational modeling\" OR \"computational statistic*\" OR \"intelligent agent*\" OR \"expert system*\" OR \"decision tree*\" OR \"Bayesian network*\" OR \"genetic algorithm*\" OR \"swarm intelligence\" OR \"cognitive computing\" OR \"artificial neural network*\" OR \"convolutional neural network*\" OR \"recurrent neural network*\" OR \"ensemble learning\" OR \"data mining\" OR \"artificial general intelligence\" OR \"artificial consciousness\" OR \"evolutionary algorithm*\" OR \"self-organizing map*\" OR \"deep reinforcement learning\" OR \"adversarial machine learning\" OR \"machine vision\" OR \"neural-symbolic integration\" OR \"probabilistic graphical model*\" OR \"hybrid intelligent system*\" OR \"machine creativity\" OR \"explainable AI\" OR \"interactive machine learning\" OR \"artificial emotional intelligence\" OR \"evolutionary computation*\" OR \"human-in-the-loop\" OR \"unsupervised deep learning\" OR \"deep belief network*\" OR \"quantum machine learning\" OR \"artificial immune system*\" OR \"swarm robotics\" OR \"autonomous agent*\" OR \"machine ethic*\" OR \"collaborative filtering\" OR \"content based filtering\" OR \"pervasive computing\" OR \"ubiquitous computing\" OR \"human-computer interaction\" OR \"cloud computing\" OR \"Internet of Things\" OR \"artificial cognition\" OR \"computational creativity\" OR \"sentiment analy*\" OR \"robotics\" OR \"boltzmann machine*\" OR \"kernel machine*\" OR \"Hopfield network*\" OR \"Hebbian learning\" OR \"latent factor model*\" OR \"non-negative matrix factorization\" OR \"independent component analysis\" OR \"principal component analysis\" OR \"data augmentation\" OR \"image segmentation\" OR \"autoregressive language model*\" OR \"generative pre-trained transformer*\" OR \"smart city\" OR \"smart home\" OR \"smart grid\" OR \"smart health\" OR \"smart manufacturing\" OR \"smart agriculture\" OR \"smart environment\" OR \"smart energy\" OR \"smart mobility\" OR \"smart buildings\" OR \"smart tourism\" OR \"smart logistics\" OR \"smart supply chain\" OR \"smart retail\" OR \"smart waste management\" OR \"smart parking\" OR \"smart governance\" OR \"smart education\" OR \"smart technolog*\" OR \"smart diagnostic*\" OR \"data* analytic*\" OR \"hadoop*\" OR \"mapreduce\" OR \"map$reduce\" OR \"large$ dataset*\" OR \"data warehouse*\" OR \"predictive analytic*\" OR \"no$sql\" OR \"nosql\" OR \"no sql\" OR \"unstructured data*\" OR \"data science*\" OR \"facial recognition\" OR \"t$SNE\" OR \"KNN\" OR \"singular value decomposition\" OR \"regularization\" OR \"turing test\" OR \"computational learning theory\" OR \"backward chaining\" OR \"forward chaining\" OR \"entity annotation\" OR \"entity extraction\" OR \"scalable computing\" OR \"expectation maximization algorithm*\" OR \"markov chain\" OR \"markov process\" OR \"markov decision process\" OR \"monte carlo method\" OR \"bayesian inference\" OR \"kernel meth
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2/2 [01:11<00:00, 35.80s/it]\n"
     ]
    }
   ],
   "source": [
    "scope_region_query = f'CU=({foc_str}) AND CU=({eu_assoc}) AND TS=({keywords_str}) AND PY=(2011-2022)'\n",
    "ww_query = f'TS=({keywords_str}) AND PY=(2011-2022)'\n",
    "\n",
    "\n",
    "sub_queries = tuple([scope_region_query,ww_query])\n",
    "print(sub_queries)\n",
    "try:\n",
    "    wos_fetch_yearly_output(query_str_list=sub_queries)\n",
    "except TimeoutException:\n",
    "    print('No results')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "outputs": [
    {
     "data": {
      "text/plain": "'CU=(PEOPLES R CHINA OR HONG KONG) AND CU=(AUSTRIA OR BELGIUM OR BULGARIA OR CROATIA OR CYPRUS OR CZECH REPUBLIC OR DENMARK OR ESTONIA OR FINLAND OR FRANCE OR GERMANY OR GREECE OR HUNGARY OR IRELAND OR ITALY OR LATVIA OR LITHUANIA OR LUXEMBOURG OR MALTA OR NETHERLANDS OR POLAND OR PORTUGAL OR ROMANIA OR SLOVAKIA OR SLOVENIA OR SPAIN OR SWEDEN OR NORWAY OR SWITZERLAND OR UNITED KINGDOM OR ENGLAND OR WALES OR SCOTLAND OR N IRELAND) AND TS=(\"artificial intelligence*\" OR \"machine* learn*\" OR \"neural network*\" OR \"big data*\" OR \"deep learn*\" OR \"pattern recognition\" OR \"computer vision\" OR \"image classification\" OR \"reinforcement learning\" OR \"support vector machine*\" OR \"recommender system*\" OR \"random forest\" OR \"ensemble model*\" OR \"image processing\" OR \"generative network*\" OR \"ai ethic*\" OR \"natural language processing\" OR \"clustering algorithm*\" OR \"feature extraction\" OR \"time series forecast*\" OR \"anomaly detection\" OR \"identity fraud detection\" OR \"dimensionality reduction\" OR \"feature elicitation\" OR \"chatbot*\" OR \"clustering\" OR \"*supervised learning\" OR \"convolutional network*\" OR \"convolutional neural\" OR \"adversarial network*\" OR \"adversarial neural\" OR \"adversarial machine\" OR \"autoencoder*\" OR \"gated recurrent unit*\" OR \"perceptron*\" OR \"feature learning\" OR \"feature engineering\" OR \"long short-term memor*\" OR \"word embedding*\" OR \"word vector*\" OR \"gradient descent\" OR \"k-nearest neighbor*\" OR \"naive bayes\" OR \"transfer learning\" OR \"fuzzy logic\" OR \"backpropagation\" OR \"computational modeling\" OR \"computational statistic*\" OR \"intelligent agent*\" OR \"expert system*\" OR \"decision tree*\" OR \"Bayesian network*\" OR \"genetic algorithm*\" OR \"swarm intelligence\" OR \"cognitive computing\" OR \"artificial neural network*\" OR \"convolutional neural network*\" OR \"recurrent neural network*\" OR \"ensemble learning\" OR \"data mining\" OR \"artificial general intelligence\" OR \"artificial consciousness\" OR \"evolutionary algorithm*\" OR \"self-organizing map*\" OR \"deep reinforcement learning\" OR \"adversarial machine learning\" OR \"machine vision\" OR \"neural-symbolic integration\" OR \"probabilistic graphical model*\" OR \"hybrid intelligent system*\" OR \"machine creativity\" OR \"explainable AI\" OR \"interactive machine learning\" OR \"artificial emotional intelligence\" OR \"evolutionary computation*\" OR \"human-in-the-loop\" OR \"unsupervised deep learning\" OR \"deep belief network*\" OR \"quantum machine learning\" OR \"artificial immune system*\" OR \"swarm robotics\" OR \"autonomous agents\" OR \"machine ethics\" OR \"collaborative filtering\" OR \"content based filtering\" OR \"pervasive computing\" OR \"ubiquitous computing\" OR \"human-computer interaction\" OR \"cloud computing\" OR \"Internet of Things\" OR \"artificial cognition\" OR \"computational creativity\" OR \"sentiment analy*\" OR \"robotics\" OR \"boltzmann machine*\" OR \"kernel machine*\" OR \"Hopfield network*\" OR \"Hebbian learning\" OR \"latent factor model*\" OR \"non-negative matrix factorization\" OR \"independent component analysis\" OR \"principal component analysis\" OR \"data augmentation\" OR \"image segmentation\" OR \"autoregressive language model*\" OR \"generative pre-trained transformer*\" OR \"smart city\" OR \"smart home\" OR \"smart grid\" OR \"smart health\" OR \"smart manufacturing\" OR \"smart agriculture\" OR \"smart environment\" OR \"smart energy\" OR \"smart mobility\" OR \"smart buildings\" OR \"smart tourism\" OR \"smart logistics\" OR \"smart supply chain\" OR \"smart retail\" OR \"smart waste management\" OR \"smart parking\" OR \"smart governance\" OR \"smart education\" OR \"smart technolog*\" OR \"smart diagnostic*\" OR \"data* analytic*\" OR \"hadoop*\" OR \"mapreduce\" OR \"map$reduce\" OR \"large$ dataset*\" OR \"data warehouse*\" OR \"predictive analytic*\" OR \"no$sql\" OR \"nosql\" OR \"no sql\" OR \"unstructured data*\" OR \"data science*\" OR \"facial recognition\
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scope_region_query"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "outputs": [],
   "source": [
    "# wos_fetch_yearly_output(query_str_list=sub_queries)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hoooold...\n",
      "51689 records found! Here we go in 173 steps...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 172/172 [19:40<00:00,  6.86s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final batch of 51601-51689\n"
     ]
    }
   ],
   "source": [
    "wos_fetch_entries(query_str=scope_query)"
   ],
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   }
  }
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