Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data-Reference-Cited by-同舟云学术

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Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data (Big Data)
language:
Short-container-title:

Author:

Akter Mst Shapna¹,Shahriar Hossain²,Ahmed Nova³,Cuzzocrea Alfredo⁴

Affiliation:

1. Kennesaw State University,Department of Computer Science,USA

2. Kennsaw State University,Department of Information Technology,USA

3. North South University,Department of Electrical and Computer Engineering (ECE),Bangladesh

4. University of Calabria,iDEA Lab,Rende,Italy

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020249.pdf?arnumber=10020249

Reference42 articles.

1. Cyberbullying in elementary and middle school students: A systematic review

2. Power Load Forecasting Using BiLSTM-Attention

3. Fighting fake news spread in online social networks: Actual trends and future research directions

4. Attention-based LSTM for Aspect-level Sentiment Classification

5. Tackling cyber-aggression: Identification and fine-grained categorization of aggressive texts on social media using weighted ensemble of transformers

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