Emotion Detection Using Text


Authors : M. Lubna Yasmeen; E. Sai Santoshi; G. Varshika; K. Pragnya; K. Sahasraksha

Volume/Issue : Volume 6 - 2021, Issue 6 - June

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/2SZviN9

The Internet and communication technologies of today are extremely fast and dynamic. In the age of mobile phones and computers, the use of different communication channels, such as cell phones and computers, is very common. This project develops an Emotion Detection Model that takes sentence-level emotion into account. In natural language processing, content-based classification problems include concepts from both machine learning and natural language processing. Our technique employs direct emotional keywords in text as a means of identifying emotions. In order to increase the accuracy of the detection, words and phrases containing emotion-affect were also considered. We have thought about emotions like happiness, sadness, anger, and so on to help us recognise emotion in text. Human beings actually use these expressions. They are important investigations, as their findings have the potential to better express human emotions and help facilitate interpersonal communication.

Keywords : SVM, Python, Emotion Detection, Testing.

CALL FOR PAPERS


Paper Submission Last Date
31 - October - 2021

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe