Towards Addressing Identity Deception in Social Media using Bangla Text-Based Gender Identification-Reference-Cited by-同舟云学术

Towards Addressing Identity Deception in Social Media using Bangla Text-Based Gender Identification

Published:2023-11-06 Issue: Volume:35 Page:72-76
ISSN:
Container-title:Proceedings of the International Conference on Advances in Social Networks Analysis and Mining
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Author:

Ahmed Sultan¹^ORCID,Alam Md Jahangir²^ORCID,Talukder Sajedul²^ORCID,Hossain Ismail²^ORCID

Affiliation:

1. University of Maryland, Baltimore County, Baltimore, United States

2. Southern Illinois University, Carbondale, United States

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3625007.3627732

Reference23 articles.

1. Author gender identification from arabic text;Alsmearat K.;Journal of Information Security and Applications,2017

2. B. Bsir and M. Zrigui. Enhancing deep learning gender identification with gated recurrent units architecture in social text. Computation y Sistemas, 22(3):757--766, 2018.

3. Author gender identification from text;Cheng Na;Digital investigation,2011

4. Chung Hwan Kwak. New world encyclopedia. https://www.newworldencyclopedia.org/entry/Bengali_language, 2020. [Online: accessed 09-April-2023].

5. M. Corney, O. de Vel, A. Anderson, and G. Mohay. Gender-preferential text mining of e-mail discourse. In Computer Security Applications Conference(CSAC), Las Vegas, USA, Dec 9--13, 2002.

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2. SocialGuard: Bangla Text-Based Gender Identification for Enhancing Integrity in Social Networks;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02