Text document classification approaches are designed to categorise documents into
predefined classes. These approaches have two main components: document …

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 …

Text classification is one of the popular high dimensional classification problems where
providing better feature vector representations explicitly improve classification …

With the rapid growth of textual data on the Internet, text classification (TC) has attracted
increasing attention. As a widely used text representation method, the vector space model …

Within text categorization and other data mining tasks, the use of suitable methods for term
weighting can bring a substantial boost in effectiveness. Several term weighting methods …

In text analysis tasks like text classification and sentiment analysis, the careful choice of term
weighting schemes can have an important impact on the effectiveness. Classic …

The performance of text classification can be affected by the choice of appropriate term
weighting scheme as well as other parameters. The terminology supervised term weighting …

The class imbalance problem occurs when the distribution among classes is not balanced.
This can be a problem that causes classifier models to bias toward classes with many …

Rapid growth of digital information requires automated handling and organization of
documents. The two main stages in automated document categorization are (i) term …

The increased volume of data due to advancements in the internet and relevant technology
makes text classification of text documents a popular demand. Providing better …