Intro to Semantics and Pragmatics
Sentiment analysis is a computational technique used to determine the emotional tone or attitude expressed in text, often categorizing sentiments as positive, negative, or neutral. This analysis helps in understanding public opinions, consumer sentiments, and social media trends by utilizing natural language processing and machine learning methods. It connects closely with corpus-based approaches that rely on large datasets for training models to evaluate sentiments accurately.
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