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Sentiment Analysis - AI Technology Knowledge Base

Sentiment Analysis is a branch of Natural Language Processing that involves the use of machine learning algorithms to analyze text and determine the emotional tone of the content. It is a powerful technology that can be used to understand how people feel about a particular topic or product, and to monitor brand reputation on social media platforms.

At the heart of Sentiment Analysis is the use of machine learning algorithms to analyze large volumes of text data and classify it as positive, negative, or neutral. These algorithms use a variety of techniques, including lexicon-based analysis, rule-based analysis, and machine learning models to determine the emotional tone of the content.

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