activity
20202026
most citedMental Illness Classification on Social Media Texts using Deep Learning and Transfer Learning

28 citations · 82 across the 33 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

cs.CL2024

Social Support Detection from Social Media Texts

Zahra Ahani, Moein Shahiki Tash, Fazlourrahman Balouchzahi +3

Social support, conveyed through a multitude of interactions and platforms such as social media, plays a pivotal role in fostering a sense of belonging, aiding resilience in the fa…

cs.CL2024★ 3 cited

Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in Under-Resourced Languages Using Explainable AI

Mesay Gemeda Yigezu, Melkamu Abay Mersha, Girma Yohannis Bade +3

The proliferation of fake news has emerged as a significant threat to the integrity of information dissemination, particularly on social media platforms. Misinformation can spread…

cs.LG2024★ 7 cited

FC-KAN: Function Combinations in Kolmogorov-Arnold Networks

Hoang-Thang Ta, Duy-Quy Thai, Abu Bakar Siddiqur Rahman +2

In this paper, we introduce FC-KAN, a Kolmogorov-Arnold Network (KAN) that leverages combinations of popular mathematical functions such as B-splines, wavelets, and radial basis fu…

cs.CL2024

A multitask learning framework for leveraging subjectivity of annotators to identify misogyny

Jason Angel, Segun Taofeek Aroyehun, Grigori Sidorov +1

Identifying misogyny using artificial intelligence is a form of combating online toxicity against women. However, the subjective nature of interpreting misogyny poses a significant…

cs.CL2024

NLP Progress in Indigenous Latin American Languages

Atnafu Lambebo Tonja, Fazlourrahman Balouchzahi, Sabur Butt +4

The paper focuses on the marginalization of indigenous language communities in the face of rapid technological advancements. We highlight the cultural richness of these languages a…

cs.CL2024

ThangDLU at #SMM4H 2024: Encoder-decoder models for classifying text data on social disorders in children and adolescents

Hoang-Thang Ta, Abu Bakar Siddiqur Rahman, Lotfollah Najjar +1

This paper describes our participation in Task 3 and Task 5 of the #SMM4H (Social Media Mining for Health) 2024 Workshop, explicitly targeting the classification challenges within…

cs.CL2024

EthioMT: Parallel Corpus for Low-resource Ethiopian Languages

Atnafu Lambebo Tonja, Olga Kolesnikova, Alexander Gelbukh +1

Recent research in natural language processing (NLP) has achieved impressive performance in tasks such as machine translation (MT), news classification, and question-answering in h…

cs.CL2024

GuReT: Distinguishing Guilt and Regret related Text

Sabur Butt, Fazlourrahman Balouchzahi, Abdul Gafar Manuel Meque +4

The intricate relationship between human decision-making and emotions, particularly guilt and regret, has significant implications on behavior and well-being. Yet, these emotions s…

cs.CL2024

Leveraging the power of transformers for guilt detection in text

Abdul Gafar Manuel Meque, Jason Angel, Grigori Sidorov +1

In recent years, language models and deep learning techniques have revolutionized natural language processing tasks, including emotion detection. However, the specific emotion of g…