susanli2016/NLP-with-Python resource

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2791 stars · 1979 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of Jupyter Notebook tutorials covering natural language processing with Python libraries such as Scikit-Learn, NLTK, SpaCy, Gensim, and TextBlob. It serves as a hands-on learning resource with example notebooks for common NLP tasks.

Use cases

• learn nlp with python notebooks
• text classification tutorial scikit-learn
• topic modeling with gensim example
• named entity recognition with spacy notebook
• sentiment analysis with textblob example
• nltk tutorial for beginners

When to choose

• you want runnable notebook examples for common NLP tasks
• you are learning Python NLP libraries like NLTK, SpaCy, or Gensim
• you need reference code for text classification or topic modeling

When to avoid

• you need a production-ready NLP library or framework
• you require a maintained, licensed package with API guarantees
• you need deep-learning-focused NLP with transformers

Facets

learning-resource · maturity maintenance

nlp machine-learning data-science machine-learning tutorials python jupyter-notebooks scikit-learn nltk spacy gensim textblob tutorials natural-language-processing

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