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The project investigates how different genres and plot structures affect a movie’s box office success and their evolution over time and genres. By applying NLP techniques to classify plot summaries into narrative archetypes, it analyzes trends and examines the financial success of certain structures.

active 2025-01-05 → 2025-01-05 (UTC)

Complete coverage27,460 / 27,460 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-02 (UTC)
Events
3
Pushes
1
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2025-01-05 to 2025-01-05. Pushes: 1 total, peak 1 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
arthurEpfl1100

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.