activity
20172026
most citedMental Illness Classification on Social Media Texts using Deep Learning and Transfer Learning

28 citations · 72 across the 55 of their papers we have counts for

collaborators
Showing 2024Show all

8 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

Exploring Sentiment Dynamics and Predictive Behaviors in Cryptocurrency Discussions by Few-Shot Learning with Large Language Models

Moein Shahiki Tash, Zahra Ahani, Mohim Tash +2

This study performs analysis of Predictive statements, Hope speech, and Regret Detection behaviors within cryptocurrency-related discussions, leveraging advanced natural language p…

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.LG2024

Anime Popularity Prediction Before Huge Investments: a Multimodal Approach Using Deep Learning

Jesús Armenta-Segura, Grigori Sidorov

In the japanese anime industry, predicting whether an upcoming product will be popular is crucial. This paper presents a dataset and methods on predicting anime popularity using a…

cs.CL2024

Analyzing Emotional Trends from X platform using SenticNet: A Comparative Analysis with Cryptocurrency Price

Moein Shahiki Tash, Zahra Ahani, Olga Kolesnikova +1

This study delves into the relationship between emotional trends from X platform data and the market dynamics of well-known cryptocurrencies Cardano, Binance, Fantom, Matic, and Ri…

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…