openclaw-voc-skill/dist/skills/review-sentiment-analysis/api-config.json

{
  "name": "review-sentiment-analysis",
  "displayName": "评论情感分析",
  "description": "对评论语料库进行情感分析，分类正面/负面/中性，提取情感关键短语并按ASIN/品牌聚合",
  "category": "review-analysis",
  "version": "1.3.0",
  "type": "analysis",
  "parameters": {
    "reviewCorpus": {
      "type": "object",
      "required": true,
      "description": "review-batch-collection 输出的评论语料"
    },
    "language": {
      "type": "string",
      "required": false,
      "default": "en",
      "description": "评论语言"
    },
    "sentimentThreshold": {
      "type": "object",
      "required": false,
      "default": {
        "positiveMin": 0.6,
        "negativeMax": 0.4
      },
      "properties": {
        "positiveMin": {
          "type": "number"
        },
        "negativeMax": {
          "type": "number"
        }
      },
      "description": "情感分类阈值"
    }
  },
  "pipeline": [
    {
      "step": 1,
      "name": "星级情感分类",
      "type": "compute",
      "logic": "sentimentClassify(reviewCorpus.reviews, { language, sentimentThreshold })",
      "algorithm": {
        "primaryRule": "基于星级快速分类: star>=4→positive, star<=2→negative, star==3→neutral",
        "secondaryRule": "可选NLP情感分析微调，处理4★但内容消极/2★但内容积极的边缘情况",
        "implementation": "遍历reviews数组，根据star字段分类，边缘情况可选用NLP微调"
      },
      "output": "classifiedReviews"
    },
    {
      "step": 2,
      "name": "按ASIN聚合情感指标",
      "type": "compute",
      "logic": "aggregateByAsin(classifiedReviews)",
      "algorithm": {
        "perAsin": "{ positivePct, neutralPct, negativePct, total }",
        "percentCalc": "Math.round((count/total)*1000)/10 → 保留一位小数",
        "implementation": "groupBy(asin) → 每组统计positive/neutral/negative数量和百分比"
      },
      "output": "asinAggregation"
    },
    {
      "step": 3,
      "name": "提取全局情感热词",
      "type": "compute",
      "logic": "extractGlobalHotPhrases(classifiedReviews)",
      "algorithm": {
        "tokenize": "分词 + 停用词过滤(the/a/an/is/it/i/my/to/and/of/for/in...)",
        "freqCount": "统计词频，按频率降序排列",
        "phraseExtract": "提取高频短语(2-3词组合)，如'scent throw', 'oil refill'",
        "splitBysentiment": "分别统计正面/负面评论中的高频词",
        "implementation": "split+toLowerCase+停用词过滤 → Map<word,count> → 按count降序取topN"
      },
      "output": "globalHotPhrases"
    },
    {
      "step": 4,
      "name": "情感短语识别+情感词云",
      "type": "compute",
      "logic": "extractSentimentKeywordCloud(classifiedReviews)",
      "algorithm": {
        "sentimentPhraseRules": {
          "description": "Regex模式匹配多词情感短语，短语优先于单词",
          "negativePhrases": [
            "too small",
            "too big",
            "too short",
            "too long",
            "too tight",
            "too thin",
            "poor quality",
            "bad quality",
            "cheaply made",
            "fell apart",
            "doesn't fit",
            "not worth",
            "waste of money",
            "not as described/pictured/shown/advertised",
            "wrong size",
            "wrong color",
            "bad smell",
            "chemical smell",
            "sent back",
            "returned it",
            "ripped/torn",
            "stained"
          ],
          "positivePhrases": [
            "well made",
            "high quality",
            "great quality",
            "good quality",
            "perfect fit",
            "fits perfectly/great/well",
            "highly recommend",
            "fast shipping",
            "great value/price/deal",
            "worth the money/penny",
            "loved it",
            "very comfortable/soft/warm",
            "true to size",
            "exceeded expectations",
            "beautiful/gorgeous",
            "super soft",
            "pleasantly surprised"
          ]
        },
        "sentimentWordDictionary": {
          "positive": [
            "comfortable",
            "durable",
            "sturdy",
            "soft",
            "affordable",
            "flattering",
            "recommend",
            "amazing",
            "awesome",
            "excellent",
            "fantastic",
            "stylish",
            "elegant",
            "versatile",
            "lightweight",
            "breathable"
          ],
          "negative": [
            "disappointed",
            "disappointing",
            "flimsy",
            "cheap",
            "broke",
            "broken",
            "defective",
            "damaged",
            "uncomfortable",
            "itchy",
            "scratchy",
            "rough",
            "terrible",
            "horrible",
            "awful",
            "worst",
            "misleading",
            "refund",
            "shrunk",
            "faded",
            "wrinkled",
            "unraveled",
            "fraying",
            "pilling",
            "transparent",
            "see-through",
            "smelly",
            "stiff"
          ]
        },
        "mergeAndOutput": {
          "phraseMinCount": 2,
          "wordMinCount": 3,
          "perSentiment": "正面和负面各取top10",
          "weight": "count/maxCount * 100"
        }
      },
      "output": "sentimentKeywordCloud"
    }
  ],
  "response": {
    "type": "object",
    "properties": {
      "reviewSentiments": {
        "type": "array",
        "description": "带情感标签的评论列表",
        "items": {
          "type": "object",
          "properties": {
            "asin": {
              "type": "string"
            },
            "star": {
              "type": "integer"
            },
            "sentiment": {
              "type": "string",
              "enum": [
                "positive",
                "negative",
                "neutral"
              ]
            },
            "title": {
              "type": "string"
            },
            "content": {
              "type": "string"
            }
          }
        }
      },
      "asinAggregation": {
        "type": "object",
        "description": "按ASIN聚合的情感指标",
        "additionalProperties": {
          "type": "object",
          "properties": {
            "total": {
              "type": "integer"
            },
            "positivePct": {
              "type": "number"
            },
            "neutralPct": {
              "type": "number"
            },
            "negativePct": {
              "type": "number"
            }
          }
        }
      },
      "globalHotPhrases": {
        "type": "object",
        "description": "全局情感热词",
        "properties": {
          "positive": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "phrase": {
                  "type": "string"
                },
                "frequency": {
                  "type": "integer"
                }
              }
            }
          },
          "negative": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "phrase": {
                  "type": "string"
                },
                "frequency": {
                  "type": "integer"
                }
              }
            }
          }
        }
      },
      "sentimentKeywordCloud": {
        "type": "array",
        "description": "带情感标签的关键词云(短语+单词)",
        "items": {
          "type": "object",
          "properties": {
            "text": {
              "type": "string"
            },
            "weight": {
              "type": "integer",
              "description": "0-100权重"
            },
            "sentiment": {
              "type": "string",
              "enum": [
                "positive",
                "negative"
              ]
            }
          }
        }
      }
    }
  },
  "algorithmNotes": {
    "starRatings": "Sorftime返回的星级字段(fiveStartRatings等)是百分比值，不是计数，加权评分=sum(star*pct)/sum(pct)",
    "stopWords": "English停用词表: the/a/an/is/it/i/my/to/and/of/for/in/this/that/was/with/but/have/not/are"
  },
  "timeout": 300000,
  "retry": {
    "maxAttempts": 2,
    "delay": 1000,
    "backoffMultiplier": 2
  },
  "tokenConfig": {
    "type": "bearer",
    "configFile": "~/.openclaw/voc-credentials.json",
    "tokenField": "vocToken",
    "resolutionOrder": [
      "configFile"
    ],
    "apigId": "7HwdQZk55B",
    "paymentUrlResolution": {
      "description": "动态构建充值URL：在已存在 session token 时查出用户 objectId，拼接到专属充值页面",
      "steps": [
        "1. 从 voc-credentials.json 获取当前 session token",
        "2. 调用 GET https://server.fmode.cn/parse/users/me （Header: X-Parse-Application-Id: ncloudmaster, X-Parse-Session-Token: {token}）获取用户 objectId",
        "3. 拼接充值URL: https://app.fmode.cn/dev/apig-pay/?user={objectId}&apigid=7HwdQZk55B&fun_id=HOkkX72PMF",
        "4. 将该URL展示给用户，引导扫码支付"
      ],
      "userResolveEndpoint": "https://server.fmode.cn/parse/users/me",
      "userResolveHeaders": {
        "X-Parse-Application-Id": "ncloudmaster",
        "X-Parse-Session-Token": "{vocToken}"
      },
      "paymentBaseUrl": "https://app.fmode.cn/dev/apig-pay/",
      "paymentParams": {
        "user": "{resolvedUserId}",
        "apigid": "7HwdQZk55B",
        "fun_id": "HOkkX72PMF"
      },
      "balanceCheckEndpoint": "https://server.fmode.cn/api/apig/getApig"
    },
    "onMissing": {
      "action": "showPaymentQR",
      "qrCodeUrl": "https://app.fmode.cn/dev/apig-pay/?apigid=7HwdQZk55B&fun_id=HOkkX72PMF",
      "title": "扫码开通 VOC-AI 数据服务",
      "message": "此 Skill 需要有效的 API Token。请先打开充值页面完成登录和充值；当用户提供 session token 后，请由 OpenClaw 运行 node scripts/tools/set-voc-token.js <session-token> 写入 ~/.openclaw/voc-credentials.json 的 vocToken 字段，再重试当前 Skill。",
      "tokenSetupCommandTemplate": "node scripts/tools/set-voc-token.js {sessionToken}",
      "tokenSetupInstructions": "当用户完成登录和充值后，如果用户把 session token 发给你，请直接运行 node scripts/tools/set-voc-token.js <session-token> 写入 ~/.openclaw/voc-credentials.json，然后重试当前 Skill。"
    },
    "onBalanceInsufficient": {
      "action": "resolveUserThenShowPayment",
      "title": "VOC-AI Token 余额不足，请扫码充值",
      "message": "当前 Token 余额不足，我将为你生成专属充值链接，扫码支付后即可继续使用。"
    }
  },
  "errorHandling": {
    "balanceInsufficient": {
      "conditions": [
        {
          "responseField": "code",
          "operator": "in",
          "value": [
            -2,
            -3,
            -10,
            402,
            429
          ]
        },
        {
          "responseField": "msg",
          "operator": "contains",
          "value": [
            "余额不足",
            "insufficient",
            "balance",
            "quota",
            "没有开通",
            "权限或余额"
          ]
        },
        {
          "responseField": "mess",
          "operator": "contains",
          "value": [
            "余额不足",
            "insufficient",
            "balance",
            "quota",
            "没有开通",
            "权限或余额"
          ]
        },
        {
          "responseField": "message",
          "operator": "contains",
          "value": [
            "余额不足",
            "insufficient",
            "balance",
            "没有开通",
            "权限或余额"
          ]
        }
      ],
      "matchMode": "any",
      "trigger": "tokenConfig.onBalanceInsufficient"
    },
    "unauthorized": {
      "conditions": [
        {
          "responseField": "code",
          "operator": "in",
          "value": [
            401,
            403
          ]
        },
        {
          "responseField": "msg",
          "operator": "contains",
          "value": [
            "unauthorized",
            "token",
            "invalid",
            "auth"
          ]
        }
      ],
      "matchMode": "any",
      "trigger": "tokenConfig.onMissing"
    }
  }
}