Text similarity measurement using concept representation of texts
DSpace at IIT Bombay
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Title |
Text similarity measurement using concept representation of texts
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Creator |
PANDYA, A
BHATTACHARYYA, P |
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Description |
Measuring semantic nearness of documents is important for accurate information retrieval, automated text categorization and classification. Inspired by the observation that text documents contain semantically coherent set of ideas/topics, this paper presents the design and experimental evaluation of a method to represent a text document as a set of concepts. Based on this, we propose a method to measure semantic nearness of texts. Our method makes use of WordNet which is a lexico-semantic network of words. We bypass word sense disambiguation. In order to show the effectiveness of our representation of texts, we compare experimental results of text classification and clustering with the results of classification and clustering with standard techniques.
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Publisher |
SPRINGER-VERLAG BERLIN
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Date |
2011-10-23T18:17:07Z
2011-12-15T09:11:17Z 2011-10-23T18:17:07Z 2011-12-15T09:11:17Z 2005 |
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Type |
Article; Proceedings Paper
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Identifier |
PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PROCEEDINGS,3776,678-683
3-540-30506-8 0302-9743 http://dspace.library.iitb.ac.in/xmlui/handle/10054/15199 http://hdl.handle.net/100/1967 |
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Source |
1st International Conference on Pattern Recognition and Machine Intelligence,Calcutta, INDIA,DEC 20-22, 2005
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Language |
English
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