Since the evolution of digital and online text content, automatic document classification has
become a significant research issue. There is a most commonly used machine learning …

Text classification is a very crucial step in applying Natural Language Processing (NLP) to
fathom real-life situations in networking domains such as engineering, business, and …

Document classification is an important task due to its many potential applications. With the
ever-increasing number of digital documents, it has become imperative to design efficient …

Text document classification is an important task for diverse natural language processing
based applications. Traditional machine learning approaches mainly focused on reducing …

This paper presents a method to determine the presence of subtitle in a video frame through
intermediate features fusion-based Convolutional Neural Network (CNN) called the IFVSNet …

Technological breakthroughs and the interest of business entities have made the
categorization of media products gradually conventional in this digital environment. This is …

Nowadays, many videos are published on Internet channels such as Youtube and
Facebook. Many audiences, however, cannot understand the contents of the video, maybe …

The task of labelling textual data from a set of thematic labels has become increasingly
important nowadays. This is not unconnected to the large volumes of such data generated in …

Aims: Text classification emerged as an important approach to advancing Natural Language
Processing (NLP) applications concerning the available text on the web. To analyze the text …

Abstract Machine learning is used in this digitizing era so there is an ever-increasing desire
for computers to execute human-like jobs. Text classification is rapidly becoming one of …