A parametric methodology for text classification

Finding the correct category (class) a new unclassified document belongs to is an interesting and difficult problem, with a wide range of applications. Our methodology for narrative text classification is based on two techniques: we calculate the distance (similarity) between the new unclassified do...

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Veröffentlicht in:	Journal of information science Jg. 36; H. 4; S. 421 - 442
Hauptverfasser:	Karanikolas, Nikitas N., Skourlas, Christos
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London, England SAGE Publications 01.08.2010 Sage Publications Bowker-Saur Ltd
Schlagworte:	Algorithms Automatic classification Averages Categories Classification Collection Computerized information retrieval Content analysis Distinctive features Document management Exact sciences and technology Extraction Greek language Indexing. Classification. Abstracting Indexing. Classification. Abstracting. Syntheses Information and communication sciences Information and document structure and analysis Information processing Information processing and retrieval Information retrieval Information retrieval. Man machine relationship Information science. Documentation Mathematical analysis Methodology Natural language processing Phrases Research methodology Research process. Evaluation Sciences and techniques of general use Similarity Studies Text categorization Texts Training sets text indexing text classification key phrase extraction document management information retrieval Text mining Automatic classification Experimental result Similarity Information retrieval Information extraction Algorithm
ISSN:	0165-5515, 1741-6485
Online-Zugang:	Volltext
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