Purchase decision analysis for product reviews - Automotive realm

Service activation and resource plan purchase

Before you start, ensure that the service is activated. After activation, you can purchase a resource plan.

• Activate service: Activation page

• Purchase resource plan: Purchase page

Service invocation and testing

For information about how to call the model, see Model invocation.

For software development kit (SDK) examples, see SDK examples.

Debugging

Configure access credentials (AK/SK) using environment variables

1. Notes:

   1. An AccessKey that belongs to an Alibaba Cloud account has full access permissions for all APIs. This poses a high security threat. We strongly recommend that you create and use a Resource Access Management (RAM) user to make API calls or perform routine operations and maintenance (O&M). To create a RAM user, you can log on to the RAM console.

   2. We strongly recommend that you do not hard-code your AccessKey ID and AccessKey secret in your code. This can lead to security threats if the keys are leaked. Instead, you can configure environment variables to store and access your AccessKey pair.

2. Configure on Linux and macOS

   export NLP_AK_ENV=<access_key_id>
   export NLP_SK_ENV=<access_key_secret>

   Replace <access_key_id> with your AccessKey ID and <access_key_secret> with your AccessKey secret. For information about how to obtain an AccessKey ID and an AccessKey secret, see Step 2: Obtain an AccessKey for an account.

3. Configure on Windows

   1. Create a file for environment variables. Add the NLP_AK_ENV and NLP_SK_ENV environment variables. Then, set these variables to your AccessKey ID and AccessKey secret.

   2. Restart your Windows system.

Java code example

/**
 * An AccessKey of an Alibaba Cloud account has full access permissions to all APIs. This poses a high security threat. We strongly recommend that you create and use a RAM user to make API calls or perform routine O&M. To create a RAM user, log on to the RAM console.
 * This example shows how to store the AccessKey ID and AccessKey secret in environment variables. You can also store them in a configuration file as needed.
 * We strongly recommend that you do not hard-code your AccessKey ID and AccessKey secret into your code. This can lead to security threats if the keys are leaked.
 */
String accessKeyId = System.getenv("NLP_AK_ENV");
String accessKeySecret = System.getenv("NLP_SK_ENV");
DefaultProfile defaultProfile = DefaultProfile.getProfile("cn-hangzhou",accessKeyId,accessKeySecret);
IAcsClient client = new DefaultAcsClient(defaultProfile);

RunPreTrainServiceRequest request = new RunPreTrainServiceRequest();
request.setServiceName("NLP_ner_pretrained_review_multidim_car");
request.setPredictContent("The interior workmanship and materials are a bit stiff, and the details need improvement. It has an interface for a child safety seat. It's a pity that the grab handles are not configured.");
RunPreTrainServiceResponse response = client.getAcsResponse(request);
System.out.println(response.getPredictResult());

Python code example

# Install dependencies
pip install aliyun-python-sdk-core
pip install aliyun-python-sdk-nlp-automl

# -*- coding: utf8 -*-
import json
import os

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

# An AccessKey of an Alibaba Cloud account has full access permissions to all APIs. This poses a high security threat. We strongly recommend that you create and use a RAM user to make API calls or perform routine O&M. To create a RAM user, log on to the RAM console.
# This example shows how to store the AccessKey ID and AccessKey secret in environment variables. You can also store them in a configuration file as needed.
# We strongly recommend that you do not hard-code your AccessKey ID and AccessKey secret into your code. This can lead to security threats if the keys are leaked.
access_key_id = os.environ['NLP_AK_ENV']
access_key_secret = os.environ['NLP_SK_ENV']

# Initialize AcsClient instance
client = AcsClient(
  access_key_id,
  access_key_secret,
  "cn-hangzhou"
);

content = 'The interior workmanship and materials are a bit stiff, and the details need improvement. It has an interface for a child safety seat. It\'s a pity that the grab handles are not configured.'

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

# Print the 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))

Request parameters

Example of PredictResult content

{
  "records": {
    "User expectation/suggestion": [
      {
        "prob": 1.0,
        "offset": [9, 17],
        "span": "details need improvement"
      }
    ],
    "Feature request": [
      {
        "prob": 1.0,
        "offset": [27, 41],
        "span": "grab handles are not configured, what a pity"
      }
    ]
  },
  "content": "The interior workmanship and materials are a bit stiff, and the details need improvement. It has an interface for a child safety seat. It's a pity that the grab handles are not configured."
}

Response parameters

List of supported purchase decision labels