Which AWS service can be used to analyze sentiment from text data?

Amazon Comprehend is the correct service for analyzing sentiment from text data. It is specifically designed for natural language processing (NLP) tasks, and one of its primary capabilities is sentiment analysis. This allows users to identify and extract subjective information from text, categorizing the sentiment as positive, negative, neutral, or mixed.

The effectiveness of Amazon Comprehend in sentiment analysis stems from its use of machine learning techniques to understand the nuances of human language, enabling it to process text data from various sources—such as social media, customer feedback, and reviews—and derive meaningful insights related to customer opinions and emotions.

The other services mentioned, while useful for other purposes, do not focus on sentiment analysis. For example, Amazon Forecast is designed for time series forecasting, Amazon SageMaker Ground Truth is used primarily for data labeling in machine learning workloads, and Amazon Transcribe is focused on converting speech into text. Therefore, they do not possess the capabilities needed for analyzing sentiment in written text data.