Azure Text Analytics is a cloud-based text analytics service provided by Microsoft Azure that enables users to extract insights from unstructured text data. It offers a range of features, including sentiment analysis, key phrase extraction, language detection, named entity recognition, and part-of-speech tagging. Azure Text Analytics can be accessed through a REST API, which allows users to make requests to the service and receive responses in a variety of formats, including JSON.
To use the Azure Text Analytics API in Python, you will need to do the following:
Set up an Azure account and create a Text Analytics resource: You can do this through the Azure portal.
Install the Azure Python SDK: You can install the Azure Python SDK by running the following command: pip install azure-ai-textanalytics
Authenticate your Python script with Azure: To authenticate your Python script with Azure, you will need to provide your Azure subscription key and endpoint. You can find your subscription key and endpoint in the Azure portal.
Make requests to the Azure Text Analytics API: Once you have authenticated your Python script with Azure, you can make requests to the Text Analytics API using the TextAnalyticsClient class. For example, to analyze the sentiment of a piece of text, you can use the sentiment method of the TextAnalyticsClient class.
Here is an example of how you might use the Azure Text Analytics API in Python:
from azure.ai.textanalytics import TextAnalyticsClient
from azure.core.credentials import AzureKeyCredential
# Set up your Azure credentials
subscription_key = “your_subscription_key”
endpoint = “your_endpoint”
credential = AzureKeyCredential(subscription_key)
# Create a TextAnalyticsClient object
client = TextAnalyticsClient(endpoint=endpoint, credential=credential)
# Define the text to analyze
text = “This is a very positive review of your product.”
# Analyze the sentiment of the text
sentiment_result = client.sentiment(documents=[text])
sentiment_score = sentiment_result.sentiment_score
# Print the sentiment score
This code snippet will print out the sentiment score for the given text, which ranges from 0 (negative) to 1 (positive). You can find more information on using the Azure Text Analytics API in Python in the Azure Text Analytics documentation.