Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Topic Modeling, Natural Language Processing Techniques, Hate Speech and Cyberbullying Detection, and Sentiment Analysis and Opinion Mining.
Student Dropout Prediction in Higher Education Using Generative AI and Large Language Models
Explainable hybrid word representations for sentiment analysis of financial news
Identifying Creative Harmful Memes via Prompt based Approach
CrisisHateMM: Multimodal Analysis of Directed and Undirected Hate Speech in Text-Embedded Images from Russia-Ukraine Conflict
Tutorials at The Web Conference 2023
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT
Automatic COVID-19 Lung Infection Segmentation through Modified Unet Model
A Recommendation Engine for Predicting Movie Ratings Using a Big Data Approach
A Comparative Analysis of Active Learning for Biomedical Text Mining
The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition
Exploiting linguistic information from Nepali transcripts for early detection of Alzheimer's disease using natural language processing and machine learning techniques
A Multi-Criteria Approach for Arabic Dialect Sentiment Analysis for Online Reviews: Exploiting Optimal Machine Learning Algorithm Selection
A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter