This chapter reviews the state-of-the-art in learning text classifiers from examples. First, it
gives formal definitions of the most common scenarios in text classification—namely binary …

Text classification technology refers to the process of supervised learning of specified texts
based on fixed rules. This paper describes the development process of text classification …

This paper proposes a new feature selection score for text classification. The value that this
score assigns to each feature has an appealing Bayesian interpretation, being the posterior …

Text categorization is used to automatically assign previously unseen documents to a
predefined set of categories. This paper gives a short introduction into text categorization …

This thesis explores the foundations of text classification, using both empirical and deductive
methods, with a focus on author identification and syntactic methods. We strive for a …

Text classification is one of the important research issues in the field of text mining, where
the documents are classified with supervised knowledge. In literature we can find many text …

Nowadays, data from all information channels expand rapidly, how to retrieve useful
information becomes the critical issue. To find the readable and understandable information …