DETECTIONOF EMOTIONS INCATEGORICAL TWEETS USING NAIVE BAYES AND SVM ALGORITHM

Abstract

In this project, we developed an emotion detection

framework designed to identify emotional cues in tweets. Emotions

play a central role in our daily lives, and with the widespread use of

social media, platforms like Twitter have become a valuable source

for understanding people’s feelings and opinions. Users express

themselves in many ways—some share positive thoughts, while

others may post harmful or bullying content. By analyzing these

tweets, we can gain insights into public opinion on news, events, and

social issues.