Text classification is an essential aspect in many applications, such as spam detection and
sentiment analysis. With the growing number of textual documents and datasets generated …

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

In this era, a rapid thriving Internet occasionally complicates users to retrieve news category
furthermore if there are plentiful of news to be categorized. News categorization is a …

To classify the texts accurately, many machine learning techniques have been utilized in the
field of Natural Language Processing (NLP). For many pattern classification applications …

Automated text categorization attempts to provide an effective solution to today's
unprecedented growth of textual data. Due to its capacity to organize a huge and varied …

The increasing proliferation of electronic files in recent decades has been addressed by
significant improvements in Natural Language Processing. As the text data generated is …

Feature selection (FS) is a fundamental process in machine learning. This process aims to
remove irrelevant features, reduce the dimensionality of the feature space, and increase the …

Text classification is a process of categorizing a text into the correct label. Text classification
in natural language processing is a challenging task that requires accuracy to get the correct …

With the enormous growth of data and documents in raw and unstructured formats,
categorizing data is the need of the hour. Understanding text is an essential step in …

Text categorization has a variety of applications, such as sentiment analysis of user's tweet,
categorizing blog posts into different categories, etc. The real-time data available for …