Web Reference: Dec 10, 2025 · Sentiment Analysis is the process of analyzing textual data to determine the emotional tone expressed in it. It classifies text as positive, negative or neutral and can also detect more nuanced emotions like happy, sad, angry or frustrated. Sep 28, 2025 · The text then compares five specific models used for Sentiment Analysis, categorizing them as Lexicon/Rule-Based (VADER, TextBlob), Traditional ML (Naive Bayes), or Deep Learning/Transformer... Jun 13, 2024 · In social media platforms like Twitter and Facebook, text classification is employed for sentiment analysis, which involves categorizing social media posts or comments into positive, negative, or neutral sentiment categories.
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