Words context analysis for improvement of information retrieval

Julian Szymański

doi:10.1007/978-3-642-34630-9_33

Words context analysis for improvement of information retrieval

Abstract

In the article we present an approach to improvement of retrieval informationfrom large text collections using words context vectors. The vectorshave been created analyzing English Wikipedia with Hyperspace Analogue to Language model of words similarity. For test phrases we evaluate retrieval with direct user queries as well as retrieval with context vectors of these queries. The results indicate that the proposed method can not replace retrieval based on direct user queries but it can be used for refining the search results.

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Julian Szymański dr hab. inż.

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Details

Category:: Conference activity
Type:: materiały konferencyjne indeksowane w Web of Science
Title of issue:: Lecture Notes in Artificial Intelligence : Computational Collective Intelligence : Technologies and Applications. strony 318 - 325
Language:: English
Publication year:: 2012
Bibliographic description:: Szymański J..: Words context analysis for improvement of information retrieval, W: Lecture Notes in Artificial Intelligence : Computational Collective Intelligence : Technologies and Applications., 2012, ,.
DOI:: Digital Object Identifier (open in new tab) 10.1007/978-3-642-34630-9_33
Verified by:: Gdańsk University of Technology