hb20007/hands-on-nltk-tutorial

hb20007/hands-on-nltk-tutorial has 569 GitHub stars and 241 forks. GitHot measured 0 stars in 24 hours and 0 in 7 days. Last checked 2026-11-09 18:59 UTC. Last push 2026-04-17.

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The hands-on NLTK tutorial for NLP in Python

569 stars 241 forks

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README.md

Original

Hands-On NLTK Tutorial

The hands-on NLTK tutorial in the form of Jupyter notebooks

NLTK is one of the most popular Python packages for Natural Language Processing (NLP).

Index of Jupyter Notebooks

Notebooks
1.1 Downloading and Checking Packages Getting ready to start!
1.2 Text Analysis Using `nltk.text` Extracting interesting data from a given text
2.1 Deriving N-Grams from Text Creating n-grams (for language classification)
2.2 Detecting Text Language by Counting Stop Words A simple way to find out what language a text is in
2.3 Language Identifier Using Word Bigrams State-of-the-art language classifier
3.1 Bigrams, Stemming, and Lemmatizing NLTK makes bigrams, stemming, and lemmatization super easy.
3.2 Finding Unusual Words for a Given Language Which words do not belong with the rest of the text?
3.3 Creating a POS Tagger Creating a parts-of-speech tagger
3.4 Parts of Speech and Meaning Exploring awesome features offered by WordNet
4.1 Name Gender Identifier Building a classifier that guesses the gender of a name
4.2 Text Genre Classifier Building a classifier that guesses the genre of a text
5.1 Sentiment Analysis Is a movie review positive or negative?
5.2 Sentiment Analysis with `nltk.sentiment.SentimentAnalyzer` and VADER More sentiment analysis!
6.1 The `langdetect` and `langid` Libraries Useful libraries for language identification
6.2 NLTK with the Greek Script Using NLTK with foreign scripts

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