{ "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 }