bilibili-sentiment-dashboard

bilibili-sentiment-dashboard Bilibili short video operations growth assistant

Overview

The Bilibili short video operations growth assistant is used to answer "How do you operate Bilibili short videos?", analyze video comments, view audience sentiment, and view discussion priorities. It is suitable for content creators, operators, brands, and e-commerce businesses to call after clarifying business goals, content materials, or analysis targets. It combines inputs such as video/note links and pasted Bilibili share links to organize key context, and outputs comment sentiment and discussion structure, audience profiles and interest signals, and content and interaction suggestions, making it easy to continue execution, review, or delivery.

When to Use

Applicable Scenarios

The user provided a Bilibili video link
The user wants to conduct comment diagnosis and obtain follow-up operations suggestions

How to Call

After running the script, it will automatically complete three steps: parse the share link, create an analysis task, and poll until the task is completed.

Command Example

Analyze Bilibili video comments

python3 scripts/run.py --params '{"link":"https://www.bilibili.com/video/BV1xx411c7mD"}'

Parameter Description

Parameter	Type	Required	Default	Description
`videoUrl`	string	Yes	-	Paste Bilibili share link

For the complete machine-readable parameter structure, see references/form-schema.json。

Parameter Value Reference

The current skill has no categorical parameters that require additional table lookup.

Supported Input Formats

Paste a Bilibili share link or BV number. The following formats can all be tried directly:

https://www.bilibili.com/video/BV1GJ411x7h7
https://b23.tv/BV1GJ411x7h7
BV1GJ411x7h7

Example Request

Pass the example parameters below directly to scripts/run.py , and the script will automatically complete parsing the link, creating the task, and polling for results.

python3 scripts/run.py --params '{"link":"https://www.bilibili.com/video/BV1xx411c7mD"}'

Equivalent --params JSON：

{
  "link": "https://www.bilibili.com/video/BV1xx411c7mD"
}

Example Return Result

{
  "success": true,
  "data": {
    "task": {
      "id": "task_demo_123",
      "platform": "bilibili",
      "contentId": "7505866362912425270",
      "contentTitle": "B 站运营拆解示例",
      "status": "completed",
      "progress": 100,
      "progressMessage": "分析完成",
      "result": {
        "summary": {
          "analyzedComments": 168,
          "timeRange": {
            "start": "2026-04-23T00:00:00.000Z",
            "end": "2026-04-24T00:00:00.000Z"
          },
          "platform": "bilibili",
          "contentId": "7505866362912425270",
          "contentTitle": "B 站运营拆解示例",
          "analyzedAt": "2026-04-24T11:35:00.000Z"
        },
        "aiInsights": {
          "summary": "评论区更在意细节证明、对比实验和补充资料，适合继续加强知识密度与长尾问题回应。",
          "sentiment": {
            "trend": "mixed",
            "label": "正向为主",
            "riskLevel": "low"
          },
          "operationAdvice": [
            {
              "category": "content",
              "priority": "P1",
              "title": "补证据链",
              "detail": "下一版补充数据来源和对比图，回应评论区对细节证明的需求。",
              "reason": "B 站用户更关注论证过程，补证据链能显著提升信任感。"
            }
          ]
        },
        "labeledComments": [
          {
            "id": "comment_1",
            "content": "能不能把你提到的对比数据和资料出处也放出来？",
            "sentiment": "positive",
            "likes": 26
          }
        ]
      }
    }
  }
}

Deliverables

Overall comment section conclusion: helps quickly determine content reputation, discussion focus, and potential public opinion risks.
User feedback breakdown: extracts high-frequency demands, typical comments, sentiment tendencies, and user profile clues.
Operations action suggestions: provides follow-up content optimization, comment replies, series topic selection, or conversion承接 direction.

Suggestions for Using the Results

First look at the overall sentiment and one-sentence summary to determine whether the content feedback is positive, controversial, wait-and-see, or risky.
Then look at high-frequency comments and user profiles to identify the issues users truly care about, purchase/interaction intent, and content gaps.
Finally, turn the operations suggestions into the next content topic, comment reply strategy, or private domain承接 action.

Preparation Before Running

AISKILLS_BASE_URL: Default https://ai-skills.ai
AISKILLS_API_KEY: Required, used for authenticated calls
AISKILLS_TENANT_ID: Default default