17 citations · 51 across the 9 of their papers we have counts for
9 papers
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…
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.…
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…
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…
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…
An Efficient K-means Clustering Algorithm for Analysing COVID-19
Md. Zubair, MD. Asif Iqbal, Avijeet Shil +3
COVID-19 hits the world like a storm by arising pandemic situations for most of the countries around the world. The whole world is trying to overcome this pandemic situation. A bet…