With the rapid advancement of information technology, online information has been
exponentially growing day by day, especially in the form of text documents such as news …

Organizations are increasingly interested in classifying texts or parts thereof into categories,
as this enables more effective use of their information. Manual procedures for text …

The purpose of document classification is to assign the most appropriate label to a specified
document. The main challenges in document classification are insufficient label information …

ABSTRACT As most information (over 80%) is stored as text, text mining is believed to have
a high commercial potential value. knowledge may be discovered from many sources of …

Educators show great interest in participating in social-media communities, such as Twitter,
to support their professional development and learning. The majority of the research into …

Text Categorization is a pattern classification task for text mining and necessary for efficient
management of textual information systems. The documents can be classified by three ways …

Sentiment Analysis is probably one of the best-known area in text mining. However, in
recent years, as big data rose in popularity more areas of text classification are being …

Every language has unique characteristics, structures, and grammar. Thus, different styles
will have different processes and result in processed in Natural Language Processing (NLP) …

Constructing scientific arguments is an important practice for students because it helps them
to make sense of data using scientific knowledge and within the conceptual and …

Text Classification is the most essential and fundamental problem in Natural Language
Processing. While numerous recent text classification models applied the sequential deep …