Detection of offensive and hate speeches on social media using multi-label classification
technique is a relatively new fine-grained solution to classification problems. This paper …

Peer-based social support has proven to be an effective approach for enhancing recovery
and co** mechanisms among individuals with mental disorders. Early intervention is …

Addressing the challenge of toxic language in online discussions is crucial for the
development of effective toxicity detection models. This pioneering work focuses on …

In this article, it is aimed to categorize meaningful content from uncontrolled growing written
social sharing data using natural language processing. Uncategorized data can disturb …

In Information Retrieval (IR), Text Mining (TM), and web search, Multi-label Text
Classification (MTC) plays an essential role. A document can fall into more than one …

E-mail is widespread in the modern commercial environment, providing an appropriate and
efficient method for communication. However, today's e-mail security threats are multiplying …

This paper proposes a disease detection system where it receives the query in form of
symptoms of the disease in the Bengali language. This system is able to handle natural …

A new era of massive and varied data repositories has been brought about by the
digitization of documents, necessitating the creation of reliable systems for interpreting and …

Multi-label text categorization is a crucial task in Natural Language Processing, where each
text instance can be simultaneously assigned to numerous labels. In this research, our goal …

Multi-label classification is a unique challenge in machine learning designed for two targets
with each containing one or multiple classes. This problem can be resolved using several …