# adashofdata/nlp-in-python-tutorial

comparing stand up comedians using natural language processing

Repository: https://github.com/adashofdata/nlp-in-python-tutorial
Canonical: https://ross.abutalabs.com/products/nlp-in-python-tutorial
Language: Jupyter Notebook
License Family: other
Last push: 2026-02-13T18:02:06+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 67, release rhythm 35, longevity 100
- inputs: {"age_days": 2962, "days_push": 201, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1731, forks 1355 (observed 2026-08-28T04:05:28.727688+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, data-science, machine-learning
- domain: data-science, tutorials, education
- platform: python, cross-platform
- tags: jupyter-notebooks, tutorial, text-analysis, comedians, wordcloud, gensim, textblob, natural-language-processing

## Member repositories
- adashofdata/nlp-in-python-tutorial (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:28.727688+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:31:42.059876+00:00, confidence not recorded.
  - readme: https://github.com/adashofdata/nlp-in-python-tutorial (fetched 2026-08-28T04:05:28.727688+00:00, sha 7c660fc2d92a)
- Data as of 2026-08-30T08:39:29.467469+00:00.