Documentation

Official docs, guides, and references for every library and topic covered in this learning path.

NLP General

NLTK Book (Official)

The canonical reference for text processing with Python and NLTK.

Complete NLP Preprocessing Guide

Covers tokenization, normalization, stemming, lemmatization end-to-end.

Understanding Tokenization, Stemming & Lemmatization

Practical NLTK-based walkthrough with code.

Library Documentation

NLTK Official Docs

Full API reference for NLTK — tokenizers, stemmers, taggers, corpora.

spaCy Official Docs

Production-ready NLP library — POS tagging, NER, dependency parsing.

gensim Word2Vec Docs

Official gensim reference for training and using Word2Vec models.

scikit-learn Text Features

CountVectorizer, TfidfVectorizer, and Hashing tricks.

scikit-learn Text Classification Tutorial

End-to-end classification pipeline tutorial from scikit-learn.

POS Tagging

POS Tagging with spaCy

Hands-on guide to POS tagging using spaCy pipelines.

Word Embeddings

Word2Vec for Text Classification (Video)

Practical tutorial: use Word2Vec features for ML classification.