hands-on-nltk-tutorial

Why we included this project

These Jupyter notebooks teach NLTK by example, one runnable exercise at a time, instead of just explaining the library in prose. The early ones cover package setup and basic text analysis, then build up to n-gram language identification, stemming and lemmatization, parts-of-speech tagging, and classifiers that guess a name's gender or a text's genre. Later notebooks get into sentiment analysis with NLTK's SentimentAnalyzer and VADER, language-detection libraries, and working with non-Latin scripts like Greek. Because everything runs on Binder, you can open a notebook in your browser and execute it without installing anything locally. For students, data analysts, or developers who want the classic NLTK workflow under their belt before moving to newer tooling, this is a practical place to start.