Douyin Short-Video Growth Dashboard
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About this skill
Problem
After a short video is published, creators and operators often need to judge whether comment sentiment is positive, where the controversy is, and what audience or purchase signals exist before choosing the next topic, reply, or conversion action. Manually reading comments is fragmented and can miss risk patterns.
How It Works
@user_bf931e31/douyin-sentiment-dashboard accepts a Douyin share link, video page, or video ID, such as https://v.douyin.com/.... The script automatically resolves the link, creates an analysis task, and polls until the result is ready. It returns a structured review: overall reputation, frequent requests, typical comments, sentiment direction, audience clues, and operations suggestions.
- Comment breakdown: identifies recurring requests and friction points
- Intent signals: distinguishes engagement, purchase, or hesitation
- Action guidance: proposes next topics, replies, or private-domain follow-up
Use it when the video object is clear. It depends on an accessible link and a valid API key, and it is an operations judgment aid rather than a real-time monitoring or auto-publishing system.
Use Cases
- After publishing a Douyin product video, quickly judge whether comments are positive, disputed, or risky.
- Review a recently promoted video by extracting frequent requests, typical comments, and engagement intent to choose the next topic.
- A brand team turns a video link into comment insights, reply wording, and private-domain follow-up direction.
- An e-commerce operator analyzes a product video's comments to identify purchase intent, hesitation, and conversion actions.
Best For
- Short-video creators who review Douyin comments to judge reputation and sentiment risk.
- Brand operators who turn comment feedback into the next topic or reply wording.
- E-commerce operators who track purchase intent, hesitation, and conversion actions.
- Content teams that assess sentiment risk and extract audience clues from their own videos.
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