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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def analize_sentiment(tweet):\n",
" analysis = TextBlob(tweet)\n",
" if analysis.sentiment.polarity > 0:\n",
" return 1\n",
" elif analysis.sentiment.polarity == 0:\n",
" return 0\n",
" else:\n",
" return -1\n",
"data['sentiment'] = np.array([ analize_sentiment(tweet) for tweet in data['Tweets_Cln']])\n",
"display(data.head(2))\n",
"\n",
"positive=data.loc[data.sentiment==1,'Tweets'].count()\n",
"negative=data.loc[data.sentiment==-1,'Tweets'].count()\n",
"neutral=data.loc[data.sentiment==0,'Tweets'].count()\n",
"\n",
"#Let's plot\n",
"labels='Postive', 'Negative', 'Neutral'\n",
"sizes=[positive, negative, neutral]\n",
"explode=(0, 0.1, 0)\n",
"fig1, ax1 = plt.subplots()\n",
"ax1.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',\n",
" shadow=True, startangle=0)\n",
"ax1.axis('equal') \n",
"plt.show()"
]
}
],
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"language": "python",
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