GENERATION OF A SET OF KEY TERMS CHARACTERISING TEXT DOCUMENTS

Kristina Machova, Andrea Szaboova, Peter Bednar

Abstract


The presented paper describes statistical methods (information gain, mutual X^2 statistics, and TF-IDF method) for key words generation from a text document collection. These key words should characterise the content of text documents and can be used to retrieve relevant documents from a document collection. Term relations were detected on the base of conditional probability of term occurrences. The focus is on the detection of those words, which occur together very often. Thus, key words, which consist from two terms were generated additionally. Several tests were carried out using the 20 News Groups collection of text documents.

Keywords


text documents; key terms generation; TF-IDF method; information gain; mutual information; term relation

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Journal of Information and Organizational Sciences (Online)
ISSN 1846-9418 (online)
ISSN 1846-3312 (print)