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dipanjanS/text-analytics-with-python resource

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer. observed · 2026-08-28

github.com/dipanjanS/text-analytics-with-python · Jupyter Notebook · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3629
  • days_rel: n/a
  • days_push: 2078
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1698 stars · 845 forks observed · 2026-08-28

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

Companion repository for the book 'Text Analytics with Python' (2nd Edition, Apress/Springer), containing Jupyter notebooks, code, and datasets covering NLP techniques from text processing to deep learning-based sentiment analysis. It serves as a hands-on learning resource for practitioners studying text analytics with Python.

Use cases

  • learn natural language processing with python
  • sentiment analysis tutorial code
  • text classification examples in python
  • topic modeling with gensim notebooks
  • text summarization implementation examples
  • learn spacy and nltk through worked examples
  • word embeddings and deep learning for NLP

When to choose

  • learning NLP concepts through runnable notebooks
  • following a structured book-based curriculum on text analytics
  • studying both classical ML and deep learning approaches to text

When to avoid

  • need a production-ready NLP library
  • want actively maintained tooling rather than educational code
  • need the latest LLM/transformer-era techniques

Facets

learning-resource · maturity maintenance

nlp machine-learning data-science machine-learning tutorials data-science python cross-platform text-analytics sentiment-analysis text-classification text-summarization topic-modeling jupyter-notebooks book-companion nltk spacy gensim scikit-learn natural-language-processing

1 source

Member repositories

RepositoryRoleHealth v2
dipanjanS/text-analytics-with-pythonmain32

For agents

markdown · JSON · MCP: product_card(name="dipanjanS/text-analytics-with-python")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem