azure-ai-textanalytics

import os from azure.core.credentials import AzureKeyCredential from azure.ai.textanalytics import TextAnalyticsClient # Set environment variables for endpoint and key # AZURE_LANGUAGE_ENDPOINT='https://YOUR_RESOURCE_NAME.cognitiveservices.azure.com/' # AZURE_LANGUAGE_KEY='YOUR_API_KEY' endpoint = os.environ.get('AZURE_LANGUAGE_ENDPOINT', 'YOUR_LANGUAGE_ENDPOINT') key = os.environ.get('AZURE_LANGUAGE_KEY', 'YOUR_LANGUAGE_KEY') if endpoint == 'YOUR_LANGUAGE_ENDPOINT' or key == 'YOUR_LANGUAGE_KEY': print("Please set the 'AZURE_LANGUAGE_ENDPOINT' and 'AZURE_LANGUAGE_KEY' environment variables.") else: try: text_analytics_client = TextAnalyticsClient( endpoint=endpoint, credential=AzureKeyCredential(key) ) documents = [ "I had a wonderful trip to Seattle last week.", "The coffee was terrible and the staff was rude.", "The city was beautiful, but the weather was rainy." ] response = text_analytics_client.analyze_sentiment(documents=documents) for doc in response: if not doc.is_error: print(f"Document Text: {documents[doc.id]}") print(f"Overall Sentiment: {doc.sentiment}") print("Sentence sentiments:") for sentence in doc.sentences: print(f" Sentence: {sentence.text}") print(f" Sentiment: {sentence.sentiment}") print(f" Positive score: {round(sentence.confidence_scores.positive, 2)}") print(f" Neutral score: {round(sentence.confidence_scores.neutral, 2)}") print(f" Negative score: {round(sentence.confidence_scores.negative, 2)}\n") else: print(f"Document ID: {doc.id}, Error: {doc.error}") except Exception as e: print(f"An error occurred: {e}")