IJAIEM

Pulgam Bhavitha Reddy , Gopidi Sanjana , Dharamsoth Pavan Nayak ,G. Sathish

Abstract

Due to social media platforms there are lots of comments every day. Generally the comments are friendly and have good intentions. But sometimes comments convey the feelings of anger, sadness, fear, etc. Negative comments provide evidence that you cannot succeed at your goals, which can also be demotivating. So our task is to predict the various emotions of the comments. For this work, machine learning like Decision Tree, Random Forest, SVM, Logistic Regression using tf-idf and count vectors based model and deep learning model have been used. Among all deep leaning model have performed better than any other machine learning models with an accuracy of 92%. Emotion detection from text has gained significant attention in recent years due to its applications in sentiment analysis, customer feedback evaluation, social media monitoring, and mental health analysis. Traditional methods rely on lexicon-based approaches, but with advancements in machine learning (ML) and deep learning (DL),