hands-on-nltk-tutorial and nlp-tutorial
These are **competitors** — both are introductory NLP tutorials teaching similar core concepts (tokenization, POS tagging, sentiment analysis) using NLTK in Python, so learners would typically choose one based on depth and teaching style rather than use them together.
About hands-on-nltk-tutorial
hb20007/hands-on-nltk-tutorial
The hands-on NLTK tutorial for NLP in Python
Structured as Jupyter notebooks covering text preprocessing (tokenization, stemming, lemmatization), linguistic analysis (n-grams, POS tagging, WordNet), and practical NLP tasks like sentiment analysis, language detection, and text classification. Demonstrates both foundational NLTK capabilities and integration with complementary libraries like langdetect and VADER for specialized use cases. Executable via Binder for immediate browser-based experimentation without local setup.
About nlp-tutorial
bonzanini/nlp-tutorial
Tutorial: Natural Language Processing in Python
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