Real name: 
Mahamodul Hasan Mahadi
First Name: 
Mahamodul Hasan
Last Name: 
Mahadi
Short Bio: 
Mahamodul Hasan Mahadi, a master's degree student of Department of Computer Science in American International University-Bangladesh, Bangladesh, and has completed bachelor’s degree in Computer Science & Engineering from the American International University-Bangladesh, Bangladesh. He is very enthusiastic individual about technology, information, and more specifically Software development which led him to pursue his career in this domain. He worked as a Web Developer in the Department of Computer Science at American International University-Bangladesh. His research and development areas include Natural language processing, Machine learning, Software engineering, System analysis, Networking, Project management & Web application development, Software Quality Assurance & Testing. His main focus is to inspire industry-academia collaboration through teaching, research, and other initiatives.

Datasets & Competitions

Multilabel Extremism Classification Tweets Dataset

The "Multilabel Extremism Classification Tweets Dataset" dataset contains user comments annotated with labels including toxic, severe toxic, obscene, threat, insult, and identity hate. Designed for multi-label classification, this dataset is valuable for researchers focused on detecting online extremism and toxicity across multiple languages. It enables the development of NLP models for content moderation, hate speech detection, and extremism identification.

Categories:
Machine Learning
160 Views

Multi-Label Extremism and Jihadism Classification Tweets Dataset

The "Multi-Label Extremism and Jihadism Classification Tweets Dataset" dataset is a multilingual resource designed for multi-label classification of online extremism and toxic behavior, including extremism and jihadism. Each comment is annotated with labels indicating the presence of various extremism traits: toxic, severe toxic, obscenity, threats, insults, identity hate, and jihadi content.

Categories:
Machine Learning
91 Views