EmotionSence-AI : Online Sentiment Analysis Platform for Detecting Emotions

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Deep learning models like BERT outperform traditional methods such as Naïve Bayes in processing sentiment.
Basic models, including linear SVM and lexicon-based methods, struggle with unstructured data challenges, highlighting limitations.
Sentiment analysis remains pivotal in natural language processing, especially with advancements in contextual awareness.
This analysis addresses critical issues in interpreting ambiguous emotions and sarcasm in customer feedback.

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Analysis compares traditional models and BERT for detecting emotions in unstructured data, suggesting improvements.

Ms. Umme Salmah N (2025) studied this question.

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