Sentiment Analysis

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Sentiment analysis is a technique that examines text to identify the attitude or emotion behind it. Most systems start by deciding whether the text is positive, negative, or neutral, while more advanced models can detect specific emotions or mixed feelings. To make these judgments, sentiment analysis uses NLP and machine learning to look at phrases and the surrounding context before assigning a sentiment label or score.

Organizations use sentiment analysis on reviews, social media posts, survey responses, and support messages to understand customer opinions and public reaction to events. Modern systems range from simple rule-based tools to deep learning models like transformers that can handle more nuanced language.

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