Sentiment Analysis and Offensive Language Detection in Social Media

M. Shiny*
Department of Computer Science and Engineering, DMI College of Engineering, Tamil Nadu, India.
Periodicity:June - August'2022

Abstract

Sentiment Analysis is a field of study that focuses on figuring out how to extract, identify, or otherwise describe emotions in units of written text. One of the most common tasks in sentiment analysis is finding the polarity of a person's feelings. There are many blog posts, tweets, and comments in Indian languages online these days. Sentiment analysis in Indian languages is a relatively new field, and research in this area is just beginning. There is a lot of offensive content on social media, which is a worry for businesses and government agencies. This paper presents the methodology of sentiment analysis and offensive language detection in social media.

Keywords

Sentiment Analysis, Offensive Language, Support Vector Machines, Opinion, Dataset.

How to Cite this Article?

Shiny, M. (2022). Sentiment Analysis and Offensive Language Detection in Social Media. i-manager’s Journal on Computer Science, 10(2), 1-7.

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