adashofdata/nlp-in-python-tutorial resource

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1731 stars · 1355 forks observed · 2026-08-28

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

A Jupyter Notebook tutorial teaching natural language processing in Python by comparing stand-up comedians' transcripts. It covers text cleaning, document-term matrices, topic modeling, sentiment analysis, and word clouds using libraries like gensim, textblob, and wordcloud.

Use cases

• learn nlp in python
• tutorial for text analysis with jupyter notebooks
• topic modeling example with gensim
• sentiment analysis walkthrough
• compare documents using natural language processing
• beginner nlp project ideas
• learn wordcloud and textblob

When to choose

• you want a hands-on, project-based introduction to NLP in Python
• you learn best by following Jupyter Notebooks step by step
• you want examples of topic modeling, sentiment analysis, and word clouds in one place

When to avoid

• you need a production NLP library or tool rather than a tutorial
• you need up-to-date NLP techniques like transformers or LLMs (the material dates from 2018)
• you require a maintained, licensed codebase for reuse in projects

Facets

learning-resource · maturity maintenance

nlp data-science machine-learning data-science tutorials education python cross-platform jupyter-notebooks tutorial text-analysis comedians wordcloud gensim textblob natural-language-processing

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