The automated categorization (or classification) of texts into predefined categories has
witnessed a booming interest in the last 10 years, due to the increased availability of …

Depression is ranked as the largest contributor to global disability and is also a major
reason for suicide. Still, many individuals suffering from forms of depression are not treated …

Text mining is a new and exciting area of computer science research that tries to solve the
crisis of information overload by combining techniques from data mining, machine learning …

We describe the results of extensive experiments using optimized rule-based induction
methods on large document collections. The goal of these methods is to discover …

In this paper, we describe an automated learning approach to text categorization based on
perception learning and a new feature selection metric, called correlation coefficient. Our …

This dissertation introduces a new theoretical model for text classification systems, including
systems for document retrieval, automated indexing, electronic mail filtering, and similar …

The Construe news story categorization system assigns indexing terms to news stories
according to their content using knowledge-based techniques. An initial deployment of …

While complete understanding of arbitrary input text remains in the future, it is currently
possible to construct natural language processing systems that provide a partial …

“Bag of words” model, acronym extraction, authorship ascription, coordinate matching, data
mining, document clustering, document frequency, document retrieval, document similarity …

We describe the results of extensive machine learning experiments on large collections of
Reuters' English and German newswires. The goal of these experiments was to …