9 papers
Decoding Market Emotions in Cryptocurrency Tweets via Predictive Statement Classification with Machine Learning and Transformers
Moein Shahiki Tash, Zahra Ahani, Mohim Tash +3
The growing prominence of cryptocurrencies has triggered widespread public engagement and increased speculative activity, particularly on social media platforms. This study introdu…
GS_DravidianLangTech@2025: Women Targeted Abusive Texts Detection on Social Media
Girma Yohannis Bade, Zahra Ahani, Olga Kolesnikova +2
The increasing misuse of social media has become a concern; however, technological solutions are being developed to moderate its content effectively. This paper focuses on detectin…
Online Social Support Detection in Spanish Social Media Texts
Moein Shahiki Tash, Luis Ramos, Zahra Ahani +4
The advent of social media has transformed communication, enabling individuals to share their experiences, seek support, and participate in diverse discussions. While extensive res…
Advanced Machine Learning Techniques for Social Support Detection on Social Media
Olga Kolesnikova, Moein Shahiki Tash, Zahra Ahani +3
The widespread use of social media highlights the need to understand its impact, particularly the role of online social support. This study uses a dataset focused on online social…
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…
Stress Detection on Code-Mixed Texts in Dravidian Languages using Machine Learning
L. Ramos, M. Shahiki-Tash, Z. Ahani +3
Stress is a common feeling in daily life, but it can affect mental well-being in some situations, the development of robust detection models is imperative. This study introduces a…
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…
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…
Utilizing deep learning models for the identification of enhancers and super-enhancers based on genomic and epigenomic features
Zahra Ahani, Moein Shahiki Tash, Yoel Ledo Mezquita +1
This paper provides an extensive examination of a sizable dataset of English tweets focusing on nine widely recognized cryptocurrencies, specifically Cardano, Binance, Bitcoin, Dog…