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Durga-Vellingiri/Sentimental-Analysis

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In the era of big data, organizations are inundated with vast amounts of customer feedback and reviews every day. This sentiment data, when analyzed correctly, can provide crucial insights into customer satisfaction and product performance.

active 2024-07-15 → 2024-07-15 (UTC)

Complete coverage27,295 / 27,298 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-25 (UTC)
Events
6
Pushes
3
Pull requests
0
Issues
0
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-07-15 to 2024-07-15. Pushes: 3 total, peak 3 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
Durga-Vellingiri3300

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.