sitc/nlp/4_7_Exercises.ipynb

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    "![](images/EscUpmPolit_p.gif \"UPM\")"
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   "source": [
    "# Course Notes for Learning Intelligent Systems"
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   "source": [
    "Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © Carlos A. Iglesias"
   ]
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   "metadata": {},
   "source": [
    "# Exercises"
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   "source": [
    "# Table of Contents\n",
    "\n",
    "* [Exercises](#Exercises)\n",
    "\t* [Exercise 1 - Sentiment Analysis on Movie Reviews](#Exercise-1---Sentiment-Analysis-on-Movie-Reviews)\n",
    "\t* [Exercise 2 - Spam classification](#Exercise-2---Spam-classification)\n",
    "\t* [Exercise 3 - Automatic essay classification](#Exercise-3---Automatic-essay-classification)"
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   "metadata": {},
   "source": [
    "# Exercises"
   ]
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   "source": [
    "Here we propose several exercises, it is recommended to work only in one of them."
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   "source": [
    "## Exercise 1 - Sentiment Analysis on Movie Reviews"
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   "source": [
    "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.html Previously you should follow the installation instructions in the section Tutorial Setup \n",
    "Previously you should follow the installation steps described in Tutorial setup"
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   "source": [
    "## Exercise 2 - Spam classification"
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    "The classification of spam is a classical problem. [Here](http://zacstewart.com/2015/04/28/document-classification-with-scikit-learn.html) you can find a detailed example of how to do it using the datasets Enron-Spama and  SpamAssassin. You can try to test yourself the classification."
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   "source": [
    "## Exercise 3 - Automatic essay classification"
   ]
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   "source": [
    "As you have seen, we did not got great results in the previous notebook. You can try to improve them."
   ]
  },
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   "metadata": {},
   "source": [
    "## Licence"
   ]
  },
  {
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   "metadata": {},
   "source": [
    "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
    "\n",
    "© Carlos A. Iglesias, Universidad Politécnica de Madrid."
   ]
  }
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