Added NLP notebooks

nlp/4_0_Intro_NLP.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![](images/EscUpmPolit_p.gif \"UPM\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Course Notes for Learning Intelligent Systems"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © 2016 Carlos A. Iglesias"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "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."
+   ]
+  }
+ ],
+ "metadata": {
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+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.1"
+  }
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+ "nbformat": 4,
+ "nbformat_minor": 0
+}