Community AnalysisAE Community
Operate the AE community analytics platform through ae-cli, post search, comment sentiment analysis, hot-topic tracking, risky-content monitoring, and livestream data queries, completing community insight in one place.
Sentiment timeline
over timeThe AE Community Skill is a community-data analysis capability in ThinkingAI's industry Skill library. It helps operations and community teams operate the AE community analytics platform through the ae-cli command-line tool, covering post and video search and details, comment summaries and tag analysis, sentiment trends and topic tracking, risky-content monitoring, and livestream data queries, and supports composite workflows like daily reports, weekly reports, hot-topic insight, deep theme-comment analysis, event analysis, character analysis, and official-content classification. This is ThinkingAI's decade of industry experience, packaged into ready-to-use Skills.
Live walkthrough
+get_channel_info to get the project's community channel IDsThe five-platform sweep is done. There's only one thing you have to handle today: the 'season settlement compensation' controversy is heating up on both Weibo and Baidu Tieba. Weibo post volume is up 36% day over day with 37% negative sentiment, and Tieba already has compensation-value comparison posts. The other platforms are steady. Yesterday's full picture for a sample SLG game (demo) follows.
1. Five-platform sentiment summary
| Platform | Posts yesterday | DoD | Sentiment share (pos / neu / neg) | Hot topic |
|---|---|---|---|---|
| TapTap | 486 | +12% | 38% / 41% / 21% | New-season balance discussion |
| Bilibili | 312 | +8% | 52% / 35% / 13% | Streamer strategy-video fan edits |
| 745 | +36% | 24% / 39% / 37% | Season settlement compensation controversy | |
| Baidu Tieba | 528 | +19% | 29% / 44% / 27% | Settlement compensation value-comparison posts |
| NGA | 246 | −4% | 33% / 48% / 19% | Team-composition balance discussion |
2. Key signals today
On your data
That was a simulated run
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The problem
Community operations must watch 9+ platforms at once, TapTap, Bilibili, Douyin, Weibo, Xiaohongshu, Tieba, NGA, and others, and manually checking posts, comments, and sentiment trends platform by platform averages 30 to 45 minutes per sweep. Data formats and sentiment expression differ across platforms, making it hard to compare the same topic's performance side by side; and violating ads, sensitive content, and fraud are scattered everywhere, with more than 80% of teams lacking automated monitoring and a manual-sweep miss rate above 60%.
What it does
When to use it
You need to search and view community post and video details and comment data
You need to track community sentiment trends and topic-heat changes
You need to generate a community daily report, weekly report, or hot-topic insight report
You need deep theme analysis of a post's comments
You need to monitor risky community content, or query livestream rooms, sessions, and AI reports
In the field
FAQ
How does it differ from AE Analysis?
AE Analysis is for in-product behavior data (reports, dashboards, Ad-hoc, cohorts), while AE Community is for out-of-product user feedback (posts, comments, sentiment, topics, livestreams).
What is the difference between a daily and a weekly report?
A daily report is a single-day flash, focused on the T-1 vs T-2 day-over-day change and anomaly signals. A weekly report is a 7-day summary, focused on the core-event narrative running through the week.
How do you get the channel ID?
Call +get_channel_info to get all of the project's community channel IDs, and later commands use the returned channelId directly.
Related Skills
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