How to use AWS Sentiment Analysis, and what API should I use

To use AWS Sentiment Analysis, you can leverage Amazon Comprehend, a natural language processing (NLP) service that uses machine learning to analyze text. Here’s how you can use it and the APIs you should consider:

APIs for Sentiment Analysis

  1. DetectSentiment: This API operation analyzes a single document to determine its overall sentiment, which can be Positive, Negative, Neutral, or Mixed. The operation returns a sentiment score for each sentiment type, indicating the likelihood of the text expressing that sentiment[1][3][7].

  2. BatchDetectSentiment: This API allows you to analyze the sentiment of up to 25 documents in a single batch request. It provides sentiment scores for each document in the batch[1][3].

  3. StartSentimentDetectionJob: This operation starts an asynchronous job for sentiment analysis on a collection of documents. It is suitable for processing large volumes of text[1][3].

Using the API

  • AWS CLI Example: You can use the AWS Command Line Interface (CLI) to call the DetectSentiment operation. For example:

    aws comprehend detect-sentiment \
    --region region \
    --language-code "en" \
    --text "It is raining today in Seattle."
    

    This command will return the sentiment and sentiment scores for the input text[1].

  • AWS SDKs: You can also use AWS SDKs like Boto3 for Python, SDK for Java, or SDK for .NET to interact with the Amazon Comprehend APIs. These SDKs provide methods to call the sentiment analysis operations programmatically[1][2].

Setting Up

  1. AWS Account and API Access: Ensure you have an AWS account and have set up the necessary IAM roles and permissions to access Amazon Comprehend. You can configure your AWS CLI or SDKs with your credentials[2].

  2. Data Requirements: The input text must be UTF-8 encoded, and the language code must be specified. Amazon Comprehend supports multiple languages, including English, Spanish, French, and others[3][7].

  3. Pricing: Be aware of the pricing for using Amazon Comprehend, which is based on the number of text units processed. You can find detailed pricing information on the AWS website[2].

By following these steps and using the appropriate APIs, you can effectively perform sentiment analysis using Amazon Comprehend on AWS.

Citations:
[1] Real-time analysis using the API - Amazon Comprehend
[2] https://www.youtube.com/watch?v=flCGy3p83O8
[3] Sentiment - Amazon Comprehend
[4] AWS Marketplace: Sentiment Analysis API
[5] https://www.youtube.com/watch?v=uExVOtMWN0I
[6] https://www.youtube.com/watch?v=Q1RWpB2juKI
[7] DetectSentiment - Amazon Comprehend API Reference
[8] AWS Marketplace: Sentiment Analysis API