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dipanjanS/text-analytics-with-python

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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.

active 2023-08-162026-04-25 (UTC)

Complete coverage26,381 / 26,381 hourly files (100%) · 2 absent upstream2023-08-152026-08-18 (UTC)
Events
193
Pushes
0
Pull requests
0
Issues
0
Stars
136
Forks
56

Activity over time

Daily event counts in the loaded window

Line chart, 984 days from 2023-08-16 to 2026-04-25. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 1 total, peak 1 in a day. Stars: 136 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
ricodep32beb1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#17ricodep32beb2023-08-29 22:11
    Keras and spaCy New Versions

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 136 stars here means stars gained during the window, not the repo's star count.