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Naveve Bayes and Logistic Regression For Sentiment Analysis and Emotion Detection From Text by saivignesh282005 is a document available to read on EtoBox.

This paper discusses the use of Naïve Bayes and Logistic Regression for sentiment analysis and emotion detection from text, focusing on their application in detecting depression. It outlines the methodology including data preprocessing, feature extraction, and hyperparameter tuning, emphasizing the importance of model selection for accurate emotion classification. The study demonstrates the effectiveness of these models in providing objective assessments of emotional states, which can aid in mental health m

Author

saivignesh282005

Language

EN