The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …

Feature Selection (FS) methods alleviate key problems in classification procedures as they
are used to improve classification accuracy, reduce data dimensionality, and remove …

Machine-learning-based text classification is one of the leading research areas and has a
wide range of applications, which include spam detection, hate speech identification …

Social media sites and applications, including Facebook, YouTube, Twitter and blogs, have
become major social media attractions today. The huge amount of information from this …

With the rapid development of the internet technology, a large amount of internet text data
can be obtained. The text classification (TC) technology plays a very important role in …

With the rapid growth of textual content on the Internet, automatic text categorization is a
comparatively more effective solution in information organization and knowledge …

Research into the nature and structure of 'Dark Webs' such as Tor has largely focused upon
manually labelling a series of crawled sites against a series of categories, sometimes using …

Social media networks such as Twitter, Facebook, YouTube, blogs, and discussion forums
are becoming powerful tools that extremist groups use to disseminate radical ideologies and …

The effective representation of the relationship between the documents and their contents is
crucial to increase classification performance of text documents in the text classification …

Strong encryption algorithms and reliable anonymity routing have made cybercrime
investigation more challenging. Hence, one option for law enforcement agencies (LEAs) is …