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adisharma-git/Stress-detection

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This project focuses on detecting stress in textual data using Natural Language Processing (NLP) and the Naïve Bayes classification algorithm. The model processes input text, extracts meaningful features, and predicts whether the text conveys stress or not.

active 2025-03-16 → 2025-03-16 (UTC)

Complete coverage27,964 / 27,964 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-23 (UTC)
Events
6
Pushes
4
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2025-03-16 to 2025-03-16. Pushes: 4 total, peak 4 in a day. Pull requests: 0 total, peak 0 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

Top contributors

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

ContributorContributionsPushesPRsComments
adisharma-git4400

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

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.