natlanguage.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "from google.cloud import language\n",
    "from google.cloud.language import enums\n",
    "from google.cloud.language import types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "def language_analysis(text):\n",
    "    client = language.Client()\n",
    "    document = client.document_from_text(text)\n",
    "    sent_analysis = document.analyze_sentiment()\n",
    "    dir(sent_analysis)\n",
    "    sentiment = sent_analysis.sentiment\n",
    "\n",
    "    ent_analysis = document.analyze_entities()\n",
    "    dir(ent_analysis)\n",
    "    entities = ent_analysis.entities\n",
    "\n",
    "    return sentiment, entities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "module 'google.cloud.language' has no attribute 'Client'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-24-1f0d1add81bf>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mexample_text\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'Python is such a great programming language'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0msentiment\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mentities\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlanguage_analysis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexample_text\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msentiment\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscore\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msentiment\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmagnitude\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-23-355342373dd8>\u001b[0m in \u001b[0;36mlanguage_analysis\u001b[0;34m(text)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mlanguage_analysis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtext\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m     \u001b[0mclient\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlanguage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mClient\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m     \u001b[0mdocument\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclient\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdocument_from_text\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtext\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0msent_analysis\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdocument\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0manalyze_sentiment\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msent_analysis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: module 'google.cloud.language' has no attribute 'Client'"
     ]
    }
   ],
   "source": [
    "example_text = 'Python is such a great programming language'\n",
    "sentiment, entities = language_analysis(example_text)\n",
    "print(sentiment.score, sentiment.magnitude)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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