Caesar AI Atlas

Sentiment Analysis

Caesar AI Atlas Definition

Sentiment analysis is an NLP task that identifies and classifies opinions, attitudes, or emotions expressed in text or speech. It is commonly used to measure whether language about a product, service, organization, or topic is positive, negative, neutral, or associated with specific feelings.

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Sentiment Analysis Source

Using statistical or machine learning algorithms to determine a group's overall attitude---positive or negative---toward a service, product, organization, or topic. For example, using natural language understanding, an algorithm could perform sentiment analysis on the textual feedback from a university course to determine the degree to which students generally liked or disliked the course. See the Text classification guide for more information.

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