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    "![](images/EscUpmPolit_p.gif \"UPM\")"
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   "metadata": {},
   "source": [
    "# Course Notes for Learning Intelligent Systems"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © 2016 Carlos A. Iglesias"
   ]
  },
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   "source": [
    "# Introduction to Natural Language Processing\n",
    " \n",
    "In this lab session, we are going to learn how to analyze texts and apply machine learning techniques on textual data sources.\n",
    "\n",
    "# Objectives\n",
    "\n",
    "The main objectives of this session are:\n",
    "* Learn how to obtain lexical, syntactic and semantic features from texts\n",
    "* Learn to use some libraries, such as NLTK, Scikit-learn and gensim for NLP"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Table of Contents"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. [Home](4_0_Intro_NLP.ipynb)\n",
    "1. [Lexical processing](4_1_Lexical_Processing.ipynb)\n",
    "1. [Syntactic processing](4_2_Syntactic_Processing.ipynb)\n",
    "2. [Vector representation](4_3_Vector_Representation.ipynb)\n",
    "3. [Classification](4_4_Classification.ipynb)\n",
    "1. [Semantic models](4_5_Semantic_Models.ipynb)\n",
    "1. [Combining features](4_6_Combining_Features.ipynb)\n",
    "5. [Exercises](4_7_Exercises.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Licence\n",
    "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
    "\n",
    "© 2016 Carlos A. Iglesias, Universidad Politécnica de Madrid."
   ]
  }
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