mirror of https://github.com/gsi-upm/sitc
Added exercise with Spacy
Carlos A. Iglesias
1 year ago
committed by
GitHub
parent
d41fa61c65
commit
f9d8234e14
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"source": [
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"![](images/EscUpmPolit_p.gif \"UPM\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"source": [
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"# Course Notes for Learning Intelligent Systems"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"source": [
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"Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © Carlos A. Iglesias"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"# Table of Contents\n",
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"* [First steps](#First-steps)\n",
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"* [Movie review](#Movie-review)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"# First steps\n",
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"Given the text taken from https://www.romania-insider.com/baneasa-airport-reopening-date-jul-2022.\n",
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"\n",
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"The Aurel Vlaicu Băneasa Airport will reopen on August 1, with scheduled commercial flights resuming after a nine-year hiatus, George Dorobanțu, the director of the Bucharest National Airports Company (CNAB), announced in an interview with the public radio. Three companies are already ready to start scheduled and charter flights on Băneasa, namely Ryanair, Air Connect, and Fly One, the director said.\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"outputs": [],
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"source": [
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"text = \"The Aurel Vlaicu Băneasa Airport will reopen on August 1, with scheduled commercial flights resuming after a nine-year hiatus, George Dorobanțu, the director of the Bucharest National Airports Company (CNAB), announced in an interview with the public radio. Three companies are already ready to start scheduled and charter flights on Băneasa, namely Ryanair, Air Connect, and Fly One, the director said.\""
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "subslide"
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}
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},
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"source": [
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"### 1. List the first 10 tokens of the doc"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"### 2. Number of tokens of the text."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"### 3. List the Noun chunks\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"### 4. Print the sentences of the text"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"### 5. Print the number of sentences of the text\n",
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"Hint: build a list first"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"### 6. Print the second sentence. "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"### 7. Visualize the dependency grammar analysis of the second sentence"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"### 8. Listing lemmas and deps\n",
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"For every token in the second sentence, print the text token, the grammatical category, and the lemma in four columns.\n",
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"\n",
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"Example:\n",
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"\n",
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"you  PRON  you  nsubj\n",
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"\n",
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"Hint: format the columns. You can use expandtabs."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"### 9. List frequencies of POS in the document in a table "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"### 10. Preprocessing\n",
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"\n",
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"Remove from the doc stopwords, digits and punctuation.\n",
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"\n",
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"Hint: check the token api https://spacy.io/api/token\n",
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"\n",
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"Print the number of tokens before and after preprocessing."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"### 11. Entities of the document\n",
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"Print the entities of the document, the type of the entity and what the explanation of the entity in a table with three columns.\n",
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"\n",
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"Example:\n",
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"\n",
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"Ubuntu    ORG    Companies, agencies, institutions, etc."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"### 12. Visualize the entities\n",
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"Show the entities in a graph."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"# Movie review\n",
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"\n",
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"Classify the rmoview reviews from the following dataset https://data.world/rajeevsharma993/movie-reviews"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"source": [
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"## References\n",
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"\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"source": [
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"* [Spacy](https://spacy.io/usage/spacy-101/#annotations) \n",
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"* [NLTK stemmer](https://www.nltk.org/howto/stem.html)\n",
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"* [NLTK Book. Natural Language Processing with Python. Steven Bird, Ewan Klein, and Edward Loper. O'Reilly Media, 2009 ](http://www.nltk.org/book_1ed/)\n",
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"* [NLTK Essentials, Nitin Hardeniya, Packt Publishing, 2015](http://proquest.safaribooksonline.com/search?q=NLTK%20Essentials)\n",
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"* Natural Language Processing with Python, José Portilla, 2019."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"source": [
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"## Licence"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"source": [
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"The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n",
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"\n",
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"© Carlos A. Iglesias, Universidad Politécnica de Madrid."
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]
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}
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],
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"metadata": {
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"celltoolbar": "Slideshow",
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.10"
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},
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"latex_envs": {
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"LaTeX_envs_menu_present": true,
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"autocomplete": true,
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"bibliofile": "biblio.bib",
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"cite_by": "apalike",
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"current_citInitial": 1,
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"eqLabelWithNumbers": true,
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"eqNumInitial": 1,
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"hotkeys": {
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"equation": "Ctrl-E",
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"itemize": "Ctrl-I"
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},
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"labels_anchors": false,
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"latex_user_defs": false,
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"report_style_numbering": false,
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"user_envs_cfg": false
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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}
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