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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

DefaultProfile defaultProfile = DefaultProfile.getProfile("cn-hangzhou","your-access-id-key","your-access-id-secret");
IAcsClient client = new DefaultAcsClient(defaultProfile);

RunPreTrainServiceRequest request = new RunPreTrainServiceRequest();
request.setServiceName("NLP_ner_pretrained_review_multidim_car");
request.setPredictContent("内饰做工材质偏硬，细节方面有待完善，儿童安全座椅接口。车内安全拉手未配置，有些遗憾");
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 = '内饰做工材质偏硬，细节方面有待完善，儿童安全座椅接口。车内安全拉手未配置，有些遗憾'

# Initialize a request and set parameters
request = RunPreTrainServiceRequest.RunPreTrainServiceRequest()
request.set_ServiceName('NLP_ner_pretrained_review_multidim_car')
request.set_PredictContent(content)

# 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'],ensure_ascii=False))

{
  "records": {
    "用户期望/建议": [
      {
        "prob": 1.0,
        "offset": [9, 17],
        "span": "细节方面有待完善"
      }
    ],
    "功能需求": [
      {
        "prob": 1.0,
        "offset": [27, 41],
        "span": "车内安全拉手未配置，有些遗憾"
      }
    ]
  },
  "content": "内饰做工材质偏硬，细节方面有待完善，儿童安全座椅接口。车内安全拉手未配置，有些遗憾"
}