首页 > 解决方案 > 为什么 Azure 内容审查器无法检测到自定义术语?

问题描述

我正在尝试使用 Azure 认知服务(更具体地说)检测一大段文本中的自定义标记关键字。azure-cognitiveservices-vision-contentmoderator==1.0.0

代码运行如下:

from azure.cognitiveservices.vision.contentmoderator import ContentModeratorClient
from msrest.authentication import CognitiveServicesCredentials

subscription_key = '<my_key>'
endpoint_url = 'https://westeurope.api.cognitive.microsoft.com/'

client = ContentModeratorClient(endpoint_url, CognitiveServicesCredentials(subscription_key))

之后,我还可以创建一个123自定义术语列表(名为 )(使用方法client.list_management_term_lists.createclient.list_management_term.add_term

client.list_management_term_lists.create(
        content_type="application/json",
        body={
            "name": "My custom list",
            "description": "Monty Python related terms",
        }
)

client.list_management_term.add_term(
        list_id=123,
        term="eggs",
        language="eng"
)

我可以验证这是否按预期工作

terms_data = client.list_management_term.get_all_terms(list_id=123, language="eng").data
terms_data.as_dict()

产量

{'language': 'eng', 'terms': [{'term': 'eggs'}, {'term': 'spam'}], 'status': {'code': 3000, 'description': 'OK'}, 'tracking_id': 'some_id'}

但是,如果我尝试检测

import io

TEXT = "Do you like spam and eggs ?"

text_screen = client.text_moderation.screen_text(
    text_content_type="text/plain",
    text_content=io.StringIO(TEXT),
    language="eng",
    list_id=123,
    classify=True
)

text_screen.as_dict()

没有'Terms'实体出现,因为我从上面得到的只是:

{'original_text': 'Do you like spam and eggs ?',
 'normalized_text': ' you like spam  eggs ?',
 'classification': {'category1': {'score': 0.028309470042586327},
  'category2': {'score': 0.14004242420196533},
  'category3': {'score': 0.12679287791252136},
  'review_recommended': False},
 'status': {'code': 3000, 'description': 'OK'},
 'language': 'eng'}

我做错了什么,我应该如何正确地做?

另外(不确定是否相关),射击

client.list_management_term_lists.refresh_index_method(list_id=123, language="eng")

给我一个APIErrorException: Operation returned an invalid status code 'Not Found'

标签: pythonazureazure-cognitive-services

解决方案


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