hb20007/hands-on-nltk-tutorial
The hands-on NLTK tutorial for NLP in Python
This is a hands-on guide that teaches you how to analyze text, identify languages, and classify text characteristics using Python. It takes raw text inputs and helps you understand elements like sentiment, language, genre, and important words. This is for anyone, like a data analyst or researcher, who wants to perform basic to advanced natural language processing tasks.
567 stars.
Use this if you want to learn how to extract insights from text data, such as determining the sentiment of reviews or identifying the language of a document.
Not ideal if you are looking for a fully-fledged, ready-to-deploy text analysis application rather than a learning resource.
Stars
567
Forks
241
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 27, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/hb20007/hands-on-nltk-tutorial"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
estnltk/estnltk
Open source tools for Estonian natural language processing
milaan9/Python_Natural_Language_Processing
This repository consists of a complete guide on natural language processing (NLP) in Python...
practical-nlp/practical-nlp-code
Official Repository for Code associated with 'Practical Natural Language Processing' book by...
DataForScience/NLP
Natural Language Processing For Everyone
JonathanReeve/course-computational-literary-analysis
Course materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in...