Detecting and Preventing Cyber Bullying Comments on Social Media Using Deep Learning
Author(s):
M.S.Jothi, M.Goudhaman
Keywords:
Social Media, Hate Speech, Deep learning, Text mining.
Abstract
Everyone has the right to express themselves freely. However, this right is abused under the pretext of freedom of expression to discriminate verbally or physically, or to hurt people. Such intolerance is called hate speech. Hate speech is defined as language that expresses hostility towards an individual or group based on characteristics such as race, religion, ethnicity, gender, national origin, disability, or sexual orientation. It can take the form of statements, sentences, actions, or depictions that single out a person for belonging to a particular group. Both offline and online, hate speech has grown in importance in recent years. Hate content is increasingly proliferated on social media and other online platforms, ultimately leading to hate crimes. Humanity has greatly benefited from the use and information sharing of social media platforms. Nevertheless, this caused many problems, including the spread of hate speech. To address this growing problem on social media platforms, recent research has combined various machine learning and deep-his learning approaches with text-his mining techniques to automatically generate hate speech on real-time datasets. detected at Therefore, the purpose of this research is to review different hate speech detection algorithms and predict the best ones for social media datasets. Additionally, hate speech detection for real-time social settings is now enabled via mobile phone notifications.
Article Details
Unique Paper ID: 156585

Publication Volume & Issue: Volume 9, Issue 4

Page(s): 301 - 308
Article Preview & Download


Share This Article

Conference Alert

NCSST-2023

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2023

Latest Publication

Go To Issue



Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers