Microsoft Text Analytics API（v2.1）示例代码不起作用

Question

我想使用Microsoft Azure的情绪分析API。我使用它们的示例代码（https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/quickstarts/python）如下。

# -*- coding: utf-8 -*
import requests
# pprint is used to format the JSON response
from pprint import pprint

import os

subscription_key = "*********"
endpoint = "https://westcentralus.api.cognitive.microsoft.com/text/analytics"


sentiment_url = endpoint + "/text/analytics/v2.1/sentiment"


documents = {"documents": [
    {"id": "1", "language": "en",
        "text": "I had a wonderful experience! The rooms were wonderful and the staff was helpful."},
    {"id": "2", "language": "en",
        "text": "I had a terrible time at the hotel. The staff was rude and the food was awful."},
    {"id": "3", "language": "es",
        "text": "Los caminos que llevan hasta Monte Rainier son espectaculares y hermosos."},
    {"id": "4", "language": "es",
     "text": "La carretera estaba atascada. Había mucho tráfico el día de ayer."}
]}


headers = {"Ocp-Apim-Subscription-Key": subscription_key}
response = requests.post(sentiment_url, headers=headers, json=documents)
sentiments = response.json()
pprint(sentiments)

但是它只返回{'error': {'code': '404', 'message': 'Resource not found'}}是什么问题？

Answer 1

[我在分析的这一方面还没有做很多事情，所以我可能完全不满意，但是在我看来，您的“文本/分析”增加了一倍。

endpoint = "https://westcentralus.api.cognitive.microsoft.com/text/analytics"
sentiment_url = endpoint + "/text/analytics/v2.1/sentiment"

将给出最终结果https://westcentralus.api.cognitive.microsoft.com/text/analytics/text/analytics/v2.1/sentiment

它可能应该是：

https://westcentralus.api.cognitive.microsoft.com/text/analytics/v2.1/sentiment

Answer 2

您可以尝试以下代码

验证客户端

    def authenticateClient():
        credentials = CognitiveServicesCredentials(subscription_key)
        text_analytics_client = TextAnalyticsClient(
            endpoint=endpoint, credentials=credentials)
        return text_analytics_client

情感分析

def sentiment():

    client = authenticateClient()

    try:
        documents = [
            {"id": "1", "language": "en", "text": "I had the best day of my life."},
            {"id": "2", "language": "en",
                "text": "This was a waste of my time. The speaker put me to sleep."},
            {"id": "3", "language": "es", "text": "No tengo dinero ni nada que dar..."},
            {"id": "4", "language": "it",
                "text": "L'hotel veneziano era meraviglioso. È un bellissimo pezzo di architettura."}
        ]

        response = client.sentiment(documents=documents)
        for document in response.documents:
            print("Document Id: ", document.id, ", Sentiment Score: ",
                  "{:.2f}".format(document.score))

    except Exception as err:
        print("Encountered exception. {}".format(err))
sentiment()

有关更多详细信息，请参考this official docs