📚 NLTK: Natural Language Toolkit for Python

NLTK (Natural Language Toolkit) is a powerful library for Natural Language Processing (NLP) in Python. It provides easy-to-use interfaces to over 50 corpora, 200+ trained models, and a variety of text processing tasks like tokenization, stemming, lemmatization, and sentiment analysis.

🧰 Key Features

Pre-built Corpora: Access to datasets like the Brown Corpus, Reuters Corpus, and more.
Tokenization Tools: Split text into words, sentences, or subwords.
Machine Learning Models: Includes classifiers for tasks like part-of-speech tagging and named entity recognition.
Language Processing Utilities: Support for stemming (e.g., PorterStemmer), lemmatization, and semantic similarity.

🚀 Quick Start

Install NLTK:
```
pip install nltk
```

Download Corpora:

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

Basic Usage:

from nltk.tokenize import word_tokenize
text = "NLTK is a leading platform for building Python programs."
tokens = word_tokenize(text)
print(tokens)

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