我正在尝试对一些文本进行分类,并具有以下代码:
from google.cloud import language
from google.cloud.language import enums
from google.cloud.language import types
def classify_text(text):
"""Classifies content categories of the provided text."""
client = language.LanguageServiceClient()
if isinstance(text, six.binary_type):
text = text.decode('utf-8')
document = types.Document(
content=text.encode('utf-8'),
type=enums.Document.Type.PLAIN_TEXT)
categories = client.classify_text(document).categories
for category in categories:
print(u'=' * 20)
print(u'{:<16}: {}'.format('name', category.name))
print(u'{:<16}: {}'.format('confidence', category.confidence))
但是当我呼叫:
classify_text('Hello')
时,我得到:AttributeError: 'LanguageServiceClient' object has no attribute 'classify_text'
我似乎找不到关于此错误的任何问题。有人知道这里发生了什么吗?
最佳答案
我使用的版本为0.29,已弃用。当前版本是1.1,正确的功能如下:
def classify(text, verbose=True):
"""Classify the input text into categories. """
language_client = language.LanguageServiceClient()
document = language.types.Document(
content=text,
type=language.enums.Document.Type.PLAIN_TEXT)
response = language_client.classify_text(document)
categories = response.categories
result = {}
for category in categories:
# Turn the categories into a dictionary of the form:
# {category.name: category.confidence}, so that they can
# be treated as a sparse vector.
result[category.name] = category.confidence
if verbose:
print(text)
for category in categories:
print(u'=' * 20)
print(u'{:<16}: {}'.format('category', category.name))
print(u'{:<16}: {}'.format('confidence', category.confidence))
return result
找到该函数here,但是发现我误用的函数here
关于python - AttributeError:“LanguageServiceClient”对象没有属性“classify_text”,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/53092916/