Text Emotion Detection Using Machine Learning And NLP

Abstract

In today’s technological world, a majority of users across the world have access to Internet for communication via text, image, audio and video. People from diverse backgrounds exchange information on current scenarios and project their own views on them over social media. There is a need to understand and recognize the behavior of such large text information on people by analyzing their emotions. Emotions play a vital role in human interaction. We recognize emotion of a person from their speech, face gesture, body language and sign actions. Since humans use many text devices to make interactions these days, emotion extraction from the text has drawn a lot of importance. It is therefore crucial that emotions in textual conversation need to be well understood by the machines, which ultimately provide users with emotional awareness feedback. The experimental results proved that Machine learning based text emotion classification provides relatively higher accuracy compared to the existing learning methods.