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166 lines
2.8 KiB
Plaintext
166 lines
2.8 KiB
Plaintext
{
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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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"source": [
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"# NLTK - Similar Words"
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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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"source": [
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"https://www.nltk.org/book/ch01.html#searching-text"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import nltk"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"txt = open('../txt/language.txt').read()"
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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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"source": [
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"## Tokens"
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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": null,
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"metadata": {
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"scrolled": true
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},
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"outputs": [],
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"source": [
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"tokens = nltk.word_tokenize(txt)\n",
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"print(tokens)"
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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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"source": [
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"## NLTK Text object"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"text = nltk.Text(tokens)\n",
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"print(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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"source": [
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"## concordance"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# This is what you did with Michael before the break ...\n",
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"concordance = text.concordance(\"language\")"
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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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"source": [
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"## similarities"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# With a small next step ...\n",
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"similar = text.similar(\"language\")"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# And searching for contexts ...\n",
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"contexts = text.common_contexts([\"language\"])"
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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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"source": [
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"----------------"
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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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"source": [
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"## Read on"
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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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"source": [
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"https://www.nltk.org/book/ch01.html#searching-text (recommended!)"
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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": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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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": "3.7.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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