TrollMeta@DravidianLangTech-EACL2021: Meme classification using deep learning
| Author | |
|---|---|
| Keywords | |
| Abstract |
Memes act as a medium to carry one’s feelings, cultural ideas, or practices by means of symbols, imitations, or simply images. Whenever social media is involved, hurting the feelings of others and abusing others are always a problem. Here we are proposing a system, that classifies the memes into Troll or Non-Troll memes . The system implements resnet-50, a deep residual neural network architecture. ©2021 Association for Computational Linguistics |
| Year of Conference |
2021
|
| Conference Name |
Proceedings of the 1st Workshop on Speech and Language Technologies for Dravidian Languages, DravidianLangTech 2021 at 16th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2021
|
| Number of Pages |
277-280,
|
| Publisher |
Association for Computational Linguistics (ACL)
|
| ISBN Number |
978-195408506-0 (ISBN)
|
Conference Proceedings
|
|
| Download citation | |
| Cits |
6
|
