我这个项目是做游戏文本数据分析的。我从 VGChartz 上收集不同平台游戏的简介和销量数据,然后用文本挖掘方法分析这些游戏简介里常出现哪些词、隐藏哪些主题,以及不同平台和不同销量的游戏在描述方式上有什么区别。它不是做预测模型,而是一个偏探索性、解释性的文本分析项目。
active 2026-06-17 → 2026-06-17 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2026-06-17 to 2026-06-17. Pushes: 0 total, peak 0 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.
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- 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
Nobody pushed, opened or commented here in the loaded window — this repo's activity is stars and forks only.
Recent activity
Latest issues, pull requests and releases
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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.