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20202026
most citedCombating Hostility: Covid-19 Fake News and Hostile Post Detection in Social Media

17 citations · 54 across the 14 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CL2021★ 1 cited

Emotion Classification in a Resource Constrained Language Using Transformer-based Approach

Avishek Das, Omar Sharif, Mohammed Moshiul Hoque +1

Although research on emotion classification has significantly progressed in high-resource languages, it is still infancy for resource-constrained languages like Bengali. However, u…

cs.CV2021★ 10 cited

NLP-CUET@DravidianLangTech-EACL2021: Investigating Visual and Textual Features to Identify Trolls from Multimodal Social Media Memes

Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque

In the past few years, the meme has become a new way of communication on the Internet. As memes are the images with embedded text, it can quickly spread hate, offence and violence.…

cs.CL2021★ 7 cited

NLP-CUET@LT-EDI-EACL2021: Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learner

Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque

In recent years, several systems have been developed to regulate the spread of negativity and eliminate aggressive, offensive or abusive contents from the online platforms. Neverth…

cs.CL2021★ 14 cited

NLP-CUET@DravidianLangTech-EACL2021: Offensive Language Detection from Multilingual Code-Mixed Text using Transformers

Omar Sharif, Eftekhar Hossain, Mohammed Moshiul Hoque

The increasing accessibility of the internet facilitated social media usage and encouraged individuals to express their opinions liberally. Nevertheless, it also creates a place fo…

cs.CL2021★ 17 cited

Combating Hostility: Covid-19 Fake News and Hostile Post Detection in Social Media

Omar Sharif, Eftekhar Hossain, Mohammed Moshiul Hoque

This paper illustrates a detail description of the system and its results that developed as a part of the participation at CONSTRAINT shared task in AAAI-2021. The shared task comp…