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Explore the fusion of NLP with financial insights through our project, focusing on categorizing financial texts and sentiment tagging using advanced classifiers and pre-trained models finetuned on rich datasets, including finance-related tweets and articles, to decode the nuanced language of the financial world.

active 2024-02-15 → 2024-03-03 (UTC)

Complete coverage27,345 / 27,345 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-27 (UTC)
Events
28
Pushes
20
Pull requests
2
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 18 days from 2024-02-15 to 2024-03-03. Pushes: 20 total, peak 17 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

Top contributors

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

ContributorContributionsPushesPRsComments
pablo-git8211920
Vados5731100

Recent activity

Latest issues, pull requests and releases

  • Pull request#1pablo-git82024-03-03 22:11
  • Pull request#1pablo-git82024-03-03 22:10

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.