NLTK Reference Guide

Natural Language Toolkit (NLTK) is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning.

Getting Started

To begin using NLTK, you can install it using pip:

pip install nltk

Once installed, you can import the NLTK library and access its resources:

import nltk

Resources

Corpora: NLTK includes a variety of corpora, such as the Brown corpus, the Web corpus, and the movie reviews corpus.
Lexical Resources: Access to resources like WordNet, Word2Vec, and the CMU Pronouncing Dictionary.
Text Processing: Functions for tokenization, stemming, tagging, parsing, and more.

Installation

To install NLTK, you can use the following command:

pip install nltk

Dependencies

NLTK requires some external packages for certain functionalities. These can be installed using the following commands:

pip install numpy
pip install matplotlib
pip install scikit-learn

Tutorials

For a comprehensive guide on how to use NLTK, you can refer to the following tutorials: