INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Machine learning classifiers to detect offensive language in social media Dataset
Authors Name:
G. Abhinay Rao
, G. Sanjay , G. Pranay , E. Harinadh Reddy , Thirupurasundari.DR
Unique Id:
IJSDR2404095
Published In:
Volume 9 Issue 4, April-2024
Abstract:
The uses of offensive languages on social media like Instagram, Facebook, Twitter, etc. are increased tremendously. Nowadays, huge growth in the number of social media users is seen. People are knowingly or unknowingly flooded the social media platforms with offensive posts. This became very challenging task to detect offensive posts. Manually solving this problem is not feasible, therefore automatic detection of offensive language is needed. Our objective of the work is to detect offensive language with the highest accuracy. The Davidson dataset is used for experiments with annotated posts and implemented based on ml methods. The proposed deep learning methods is compared with other known machine learning classifier. Overall, result analysis is show that proposed deep learning method is outperforming others.
Keywords:
: Social media, offensive, Dataset, Classifier, Decision Tree, Machine Learning.
Cite Article:
"Machine learning classifiers to detect offensive language in social media Dataset", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.681 - 686, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404095.pdf
Downloads:
000338172
Publication Details:
Published Paper ID: IJSDR2404095
Registration ID:210810
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 681 - 686
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
Facebook Twitter Instagram LinkedIn