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Updated exercise 1 since the code of the previous link was outdated

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Carlos A. Iglesias 2020-04-29 18:04:18 +02:00 committed by GitHub
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nlp/4_7_Exercises.ipynb
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@ -58,21 +58,15 @@
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"## Exercise 1 - Sentiment classification for Twitter" "## Exercise 1 - Sentiment Analysis on Movie Reviews"
] ]
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"The purpose of this exercise is:\n", "You can try the exercise Exercise 2: Sentiment Analysis on movie reviews of Scikit-Learn https://scikit-learn.org/stable/tutorial/text_analytics/working_with_text_data.htmlt\n",
"* Collect geolocated tweets\n", "* Previously you should follow the installation instructions in the section 'Tutorial Setup'",
"* Analyse their sentiment\n",
"* Represent the result in a map, so that one can understand the sentiment in a geographic region.\n",
"\n",
"The steps (and most of the code) can be found [here](http://pybonacci.org/2015/11/24/como-hacer-analisis-de-sentimiento-en-espanol-2/). \n",
"\n",
"You can select the tweets in any language."
] ]
}, },
{ {