电销场景用户意图识别

用户意图识别服务适用于电销人工外呼/智能外呼场景，识别用户的意图（反应）。使用示例如下。

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("b_say","请问您最近考虑买房吗");
input.put("c_say","不需要");
input.put("domain","common");
Map<String, Object> map = new HashMap<>();
map.put("input", input);
RunPreTrainServiceRequest request = new RunPreTrainServiceRequest();
request.setServiceName("NLP-Key-Intent");
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-key-id>",
  "<your-access-key-secret>",
  "cn-hangzhou"
);
content ={"input": {"b_say": "请问您最近考虑买房吗", "c_say": "不需要", "domain": "common"}}
# Initialize a request and set parameters
request = RunPreTrainServiceRequest.RunPreTrainServiceRequest()
request.set_ServiceName('NLP-Key-Intent')
request.set_PredictContent(json.dumps(content))
# Print response
response = client.do_action_with_exception(request)
resp_obj = json.loads(response)
predict_result = json.loads(resp_obj['PredictResult'])
print(predict_result['result'])

PredictContent内容示例

{
  "input": {
    "b_say": "请问您最近考虑买房吗",
    "c_say": "不需要",
    "domain": "common"
  }
}

PredictResult内容示例

{
  "code": 1000,
  "data": {
    "cost": "3.622ms",
    "intent": {
      "intent": "否定"
    }
  },
  "message": "OK",
  "tracerID": "2020-09-17 15:41:28.461691"
}

入参说明

出参说明

意图说明如下：