电销场景主被叫意图识别

电销场景-主被叫意图识别服务适用于电话销售外呼场景，针对对话内容，识别主叫意图（营销、催收等）和被叫意图（不方便、情感倾向、交流意愿等），可应用于语音质检。使用示例如下。

服务开通与资源包购买

预训练模型使用前，请确认是否已经开通了NLP自学习平台服务，开通后可购买优惠资源包。

NLP自学习平台：开通地址

自学习平台资源包：购买地址

Java代码示例

class MsgDO{
            private String role;
            private String words;
            public MsgDO(String role,String words) {
                this.role = role;
                this.words = words;
            }
            public String getRole() {
                return role;
            }
            public void setRole(String role) {
                this.role = role;
            }
            public String getWords() {
                return words;
            }
            public void setWords(String words) {
                this.words = words;
            }
        }
DefaultProfile defaultProfile = DefaultProfile.getProfile("cn-hangzhou","your-access-id-key","your-access-id-secret");
IAcsClient client = new DefaultAcsClient(defaultProfile);
Map<String, Object> obj = new HashMap<String, Object>();
List<MsgDO> msgs = new ArrayList<MsgDO>();
msgs.add(new MsgDO("被叫","你好。"));
msgs.add(new MsgDO("主叫","哎，喂你好，女士，打扰您一下哈，我这边都有厂房的，请问您是有买房的需求吗？"));
obj.put("msgs",msgs);
obj.put("session_id",123);
RunPreTrainServiceRequest request = new RunPreTrainServiceRequest();
request.setServiceName("dialog_intent");
request.setPredictContent(JSON.toJSONString(obj));
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 = {
    "session_id": 123,
    "msgs":[
    {
      "role": "被叫",
      "words": "你好。"
    },
    {
      "role": "主叫",
      "words": "哎，喂你好，女士，打扰您一下哈，我这边都有厂房的，请问您是有买房的需求吗？"
    }
  ]
}
# Initialize a request and set parameters
request = RunPreTrainServiceRequest.RunPreTrainServiceRequest()
request.set_ServiceName("dialog_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)

PredictContent内容示例

{
  "session_id": 123,
  "msgs": [
    {
      "role": "被叫",
      "words": "你好。"
    },
    {
      "role": "主叫",
      "words": "哎，喂你好，女士，打扰您一下哈，我这边都有厂房的，请问您是有买房的需求吗？"
    }
  ]
}

PredictResult内容示例

{
  "result": [
    {
      "被叫意图": [{
          "label": "被叫-对话不完整", "prob": 0.928
        }],
      "主叫意图": [{
          "label": "主叫-营销", "prob": 0.9939
        }]
    }
  ],
  "cost": "77.88ms",
  "code": "SUCCESS"
}

入参说明

出参说明

意图类型