Vulnerability detection has always been the most important task in the field of software
security. With the development of technology, in the face of massive source code, automated …

In recent years, cloud computing centers have grown rapidly in size. Analyzing system logs
is an important way for the quality of service monitoring. However, systems produce massive …

Text classification has critical applications, including healthcare, where it can assist patients
in locating specialized clinics based on their symptom descriptions. This can enhance …

Social media networks have grown exponentially over the last two decades, providing the
opportunity for users of the internet to communicate and exchange ideas on a variety of …

Sentiment analysis is a means of excerpting subjective information from client reviews. The
existing shallow model lacks in addressing multiple relation/meaning of a word in a review …

Keratins (KRTs) are the intermediate filament-forming proteins of epithelial cells, classified,
according to their physicochemical properties, into “soft” and “hard” keratins. They have a …

Text annotation is an essential element of the natural language processing approaches. The
manual annotation process performed by humans has various drawbacks, such as …

Spelling errors in textual content may significantly hinder communication and
comprehension, particularly in formal writing, such as news or reports. Thus, it becomes …

This article aims to develop a semi-supervised method for automatically annotating hate
speech in social media using natural language processing (NLP) techniques. The approach …

Semantic representation methods play a crucial role in text mining tasks. Although
numerous approaches have been proposed and compared in text mining research, the …