简介 #

实体情感算法批量调用接口

调用示例 #

curl -i -XPOST -H 'Content-Type: application/json' \
-H 'Authorization: your token here' \
-d'{"documents":[{"id":"your id","data":{"Text":"苹果手机真好用","Keywords":"苹果手机"}}]}' \
https://open.datastory.com.cn/api/thanos/snt

说明：

• Text:文本数据
• Keywords:实体。实体可以以关键词列表或NER结果的方式输入
  关键词列表中，不同实体用^分割，同一实体的不同称呼用|分割（不分大小写），若实体会有不同称呼，则会用第一个出现的作为输出，如：

  "Keywords":"周杰伦|杰伦|jay^尔康"

  亦可填入Ner结果，新概念识别、商体识别、通用实体识别的结果或其他符合NER高级版格式的输入均可，如：

  "Keywords":"{\"人名":{\"周杰伦":{\"index\":[3,12],\"originName\":["杰伦","杰伦"]},\"尔康\":{\"index\":[9]}}}\"}}

• token请联系算法组同事提供

请求响应 #

若输入格式为原文+关键词列表：

[{"results":{"ENTITY_SNT_PRO":{"人名":{"周杰伦":{"index":[3,12],"originName":["杰伦","杰伦"],"sentiment":["正面","正面"],"sentimentProbability":[0.99,0.98],"overallSentiment":["正面"],"overallSentimentProbability":[0.99]},"尔康":{"index":[9],"sentiment":["负面"],"sentimentProbability":[0.99],"overallSentiment":["负面"],"overallSentimentProbability":[0.88]}}}}}]

若输入格式为原文+NER结果

[{"results":{"ENTITY_SNT_PRO":{"人名":{"周杰伦":{"index":[3,12],"originName":["杰伦","杰伦"],"sentiment":["正面","正面"],"sentimentProbability":[0.99,0.98],"overallSentiment":["正面"],"overallSentimentProbability":[0.99]},"尔康":{"index":[9],"sentiment":["负面"],"sentimentProbability":[0.99],"overallSentiment":["负面"],"overallSentimentProbability":[0.88]}}}}}]