Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/56631
Type of publication: Straipsnis kitose duomenų bazėse / Article in other databases (S4)
Field of Science: Informatika / Informatics (N009)
Author(s): Krilavičius, Tomas;Medelis, Žygimantas;Kapočiūtė-Dzikienė, Jurgita;Žalandauskas, Tomas
Title: News media analysis using focused crawl and natural language processing : case of Lithuanian news websites
Is part of: Information and software technologies : 18th international conference, ICIST 2012, Kaunas, Lithuania, September 13-14, 2012 : proceedings. Heidelberg : Springer, 2012
Extent: p. 48-61
Date: 2012
Series/Report no.: (Communications in computer and information science. Vol. 319 1865-0929)
Keywords: Natural language processing;Focused craw;Lithuanian language
ISBN: 978364233071
Abstract: The amount of information that is created, used or stored is growing exponentially and types of data sources are diverse. Most of it is available as an unstructured text. Moreover, considerable part of it is available on-line, usually accessible as Internet resources. It is too expensive or even impossible for humans to analyze all the resources for a required information. Classical Information Technology techniques are not sufficient to process such amounts of information and render it in a form convenient for further analysis. Information Retrieval (IR) and Natural Language Processing (NLP) provide a number of instruments for information analysis and retrieval. In this paper we present a combined application of NLP and IR for Lithuanian media analysis. We demonstrate that a combination of IR and NLP tools with appropriate changes can be successfully applied to Lithuanian media texts
Internet: https://hdl.handle.net/20.500.12259/56631
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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