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Seninfarheen/NLP_based_Keyword_Detection

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Repository Description This repository hosts a machine learning project focused on detecting cancer tumor board information within HTML pages. The project develops an algorithm to classify HTML documents based on the presence and prominence of tumor board discussions, aiming to automate the identification of relevant medical pages.

active 2025-07-14 → 2025-07-14 (UTC)

Complete coverage27,343 / 27,343 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-27 (UTC)
Events
14
Pushes
10
Pull requests
2
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2025-07-14 to 2025-07-14. Pushes: 10 total, peak 10 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 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
Seninfarheen121020

Recent activity

Latest issues, pull requests and releases

  • Pull request#2Seninfarheen2025-07-14 19:02
  • Pull request#1Seninfarheen2025-07-14 18:52

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.