商品评价解析服务

商品评价解析服务使用示例。

Java代码示例

DefaultProfile defaultProfile = DefaultProfile.getProfile("cn-hangzhou","your-access-id-key","your-access-id-secret");
IAcsClient client = new DefaultAcsClient(defaultProfile);
Map<String, Object> input = new HashMap();
input.put("content","衣服款式:很好看");
input.put("domain","clothing");
input.put("entity",true);
Map<String, Object> map = new HashMap<>();
map.put("input", input);
RunPreTrainServiceRequest request = new RunPreTrainServiceRequest();
request.setServiceName("ReviewAnalysis");
request.setPredictContent(JSON.toJSONString(map));
RunPreTrainServiceResponse response = client.getAcsResponse(request);
System.out.println(response.getPredictResult());

Python代码示例

# 安装依赖
pip install aliyun-python-sdk-core
pip install aliyun-python-sdk-nlp-automl

# -*- coding: utf8 -*-
import json
from aliyunsdkcore.client import AcsClient
from aliyunsdkcore.acs_exception.exceptions import ClientException
from aliyunsdkcore.acs_exception.exceptions import ServerException
from aliyunsdknlp_automl.request.v20191111 import RunPreTrainServiceRequest
# Initialize AcsClient instance
client = AcsClient(
  "<your-access-id-key>",
  "<your-access-id-secret>",
  "cn-hangzhou"
);
content = '这件衣服真好看'
domain = 'clothing'
input_params = {
    "input": {
        "content": content,
        "domain": domain,
        "entity": True
    }
}
# Initialize a request and set parameters
request = RunPreTrainServiceRequest.RunPreTrainServiceRequest()
request.set_ServiceName('ReviewAnalysis')
request.set_PredictContent(json.dumps(input_params))
# Print response
response = client.do_action_with_exception(request)
resp_obj = json.loads(response)
predict_result = json.loads(resp_obj['PredictResult'])
print(json.dumps(predict_result['data']))

{
  "input": {
    "content": "衣服款式很好看",
    "domain": "clothing",
    "entity": true
  }
}

入参说明

商品类目支持表

PredictResult内容示例

{
    "code": 1000,
    "data": {
        "aspectItem": [
            {
                "aspectCategory": "款式",
                "aspectPolarity": "正",
                "clause": "衣服款式很好看",
                "clauseIndex": "0,7",
                "negativeProb": 0,
                "positiveProb": 0.999,
                "terms": [
                    {
                        "aspectTerm": "款式",
                        "opinionTerm": "好看"
                    }
                ]
            }
        ],
        "cost": "13.652ms",
        "textPolarity": "正",
        "textProb": 0.9972
    },
    "message": "SUCCESS",
    "tracerId": "55826e2a-23d0-4664-905f-59010bfecd2a"
}

出参说明