Multi-Ideology Multi-Class Extremism Classification Using Deep Learning Techniques-Reference-Cited by-同舟云学术

Multi-Ideology Multi-Class Extremism Classification Using Deep Learning Techniques

Author:

Gaikwad Mayur¹^ORCID,Ahirrao Swati¹^ORCID,Kotecha Ketan²^ORCID,Abraham Ajith³^ORCID

Affiliation:

1. Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India

2. Symbiosis Centre for Applied Artificial Intelligence (SCAAI), Symbiosis International (Deemed University), Pune, India

3. Machine Intelligence Research Laboratories (MIR Labs), Auburn, WA, USA

Funder

Analytical Center for Government of the Russian Federation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference73 articles.

1. RoBERTa: A robustly optimized BERT pretraining approach;liu,2019

2. DistilBERT, a distilled version of BERT: Smaller, faster, cheaper and lighter;sanh;CoRR,2019

3. BERT: Pre-training of deep bidirectional transformers for language understanding;devlin;Proc Northcon Conf,2019

5. Detecting radical text over online media using deep learning;kaur;arXiv 1907 12368,2019

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. RICo: Reddit ideological communities;Online Social Networks and Media;2024-08