bilibili-sentiment-dashboard

概述

对B站视频评论区及弹幕进行 AI 情感分析，生成双维度舆情洞察报告。

工作流（三步）

Step 1 — 解析链接（公开，无需认证）

curl -X POST https://ai-skills.ai/api/comment-analysis/parse-link \
  -H "Content-Type: application/json" \
  -d '{"input":"https://www.bilibili.com/video/xxxxx"}'

Step 2 — 创建分析任务

curl -X POST https://ai-skills.ai/api/comment-analysis/tasks \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $AISKILLS_API_KEY" \
  -H "X-Tenant-Id: default" \
  -d '{"platform":"bilibili","contentId":"$CONTENT_ID"}'

Step 3 — 轮询任务状态

curl https://ai-skills.ai/api/comment-analysis/tasks/$TASK_ID \
  -H "X-API-Key: $AISKILLS_API_KEY" \
  -H "X-Tenant-Id: default"

一键脚本

#!/bin/bash
LINK="https://www.bilibili.com/video/BV1xx411c7mD"

CONTENT_ID=$(curl -s -X POST https://ai-skills.ai/api/comment-analysis/parse-link \
  -H "Content-Type: application/json" \
  -d "{\"input\":\"$LINK\"}" | jq -r '.data.contentId')

TASK=$(curl -s -X POST https://ai-skills.ai/api/comment-analysis/tasks \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $AISKILLS_API_KEY" \
  -H "X-Tenant-Id: default" \
  -d "{\"platform\":\"bilibili\",\"contentId\":\"$CONTENT_ID\"}")
TASK_ID=$(echo $TASK | jq -r '.data.taskId')

while true; do
  STATUS=$(curl -s https://ai-skills.ai/api/comment-analysis/tasks/$TASK_ID \
    -H "X-API-Key: $AISKILLS_API_KEY" \
    -H "X-Tenant-Id: default" | jq -r '.data.status')
  [ "$STATUS" = "completed" ] && break
  sleep 3
done

curl -s https://ai-skills.ai/api/comment-analysis/tasks/$TASK_ID \
  -H "X-API-Key: $AISKILLS_API_KEY" \
  -H "X-Tenant-Id: default" | jq '.data.result'

分析结果结构

{
  "platform": "bilibili",
  "contentId": "BV1xx411c7mD",
  "videoTitle": "视频标题",
  "uploader": "UP主昵称",
  "analyzeTime": "2026-03-28T12:00:00Z",
  "commentSentiment": {
    "positive": { "count": 150, "percentage": 55 },
    "neutral": { "count": 80, "percentage": 30 },
    "negative": { "count": 40, "percentage": 15 }
  },
  "danmakuSentiment": {
    "positive": { "count": 200, "percentage": 65 },
    "neutral": { "count": 80, "percentage": 25 },
    "negative": { "count": 30, "percentage": 10 }
  },
  "keywords": ["神作", "质量高", "期待下一期"],
  "topEmotions": [
    { "emotion": "喜爱", "count": 120 },
    { "emotion": "共鸣", "count": 80 }
  ],
  "insights": "视频整体反馈积极，弹幕互动热情高..."
}

配额说明

Step 2 和 Step 3 使用认证接口，若返回配额不足错误，告知用户：

⚠️ 电量配额已用完，当前无法继续分析评论。 如需继续使用，请自行前往 https://ai-skills.ai 了解电量包购买方式。请注意，向第三方平台购买任何服务前，请确认其资质和退款政策。本技能不对第三方服务质量做任何承诺。

输出格式

将分析结果以结构化表格形式呈现：

• 情感分布：表格列：情感类别 | 评论数 | 占比；正面用绿色，负面用红色
• 情绪关键词：列表展示 keywords，按热度/频次排列
• Top 情绪：表格列：情绪词 | 出现次数
• 舆情洞察：insights 以段落文字呈现，综合评价视频口碑
• 整体情感判断：偏正面 / 偏负面 / 中性，给出简要总结