NLTK (Natural Language Toolkit) is a powerful library for Natural Language Processing (NLP) in Python. It provides easy-to-use interfaces to over 200 corpora and lexical resources, along with a suite of text processing libraries for tokenization, stemming, tagging, parsing, and more.

Key Features

  • 📚 Comprehensive Corpora: Access to datasets like the Brown Corpus, Gutenberg Corpus, and more
  • 🔍 Lexical Tools: WordNet, a lexical database, and tools for synonym/antonym detection
  • 🧩 Text Processing: Tokenization, POS tagging, named entity recognition, and sentiment analysis
  • 🌐 Language Support: Tools for multiple languages including English, Chinese, and Spanish

Use Cases

  • 📝 Sentiment analysis of social media texts
  • 🧠 NLP research and prototyping
  • 📖 Educational purposes for learning NLP concepts

Installation

pip install nltk

Example Code

import nltk
nltk.download('punkt')
nltk.download('wordnet')

from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords

text = "NLTK is a versatile library for NLP tasks."
tokens = word_tokenize(text)
filtered = [word for word in tokens if word not in stopwords.words('english')]
print(filtered)

Resources

Natural_Language_Processing
Tokenization_Example