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