Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | Skorkovská, Lucie | |
dc.date.accessioned | 2015-12-14T07:44:08Z | |
dc.date.available | 2015-12-14T07:44:08Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | SKORKOVSKÁ, Lucie. Dynamic threshold selection method for multi-label newspaper topic identification. In: International conference on image analysis and recognition. Berlin: Springer, 2013, p. 209-216. (Lecture notes in computer science; 8082). ISBN 978-3-642-40584-6. | en |
dc.identifier.isbn | 978-3-642-40584-6 | |
dc.identifier.uri | http://www.kky.zcu.cz/cs/publications/SkorkovskaL_2013_DynamicThreshold | |
dc.identifier.uri | http://hdl.handle.net/11025/16982 | |
dc.format | 8 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Springer | en |
dc.relation.ispartofseries | Lecture notes in computer science; 8082 | en |
dc.rights | © Lucie Skorkovská | cs |
dc.subject | identifikace tématu | cs |
dc.subject | multi-label klasifikace textu | cs |
dc.subject | jazykové modelování | cs |
dc.subject | naivní bayesovská klasifikace | cs |
dc.title | Dynamic threshold selection method for multi-label newspaper topic identification | en |
dc.type | článek | cs |
dc.type | article | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.description.abstract-translated | Nowadays, the multi-label classification is increasingly required in modern categorization systems. It is especially essential in the task of newspaper article topics identification. This paper presents a method based on general topic model normalisation for finding a threshold defining the boundary between the "correct" and the "incorrect" topics of a newspaper article. The proposed method is used to improve the topic identification algorithm which is a part of a complex system for acquisition and storing large volumes of text data. The topic identification module uses the Naive Bayes classifier for the multiclass and multi-label classification problem and assigns to each article the topics from a defined quite extensive topic hierarchy - it contains about 450 topics and topic categories. The results of the experiments with the improved topic identification algorithm are presented in this paper. | en |
dc.subject.translated | topic identification | en |
dc.subject.translated | multi-label text classification | en |
dc.subject.translated | language modelling | en |
dc.subject.translated | naive bayes classification | en |
dc.identifier.doi | 10.1007/978-3-642-40585-3_27 | |
dc.type.status | Peer-reviewed | en |
Vyskytuje se v kolekcích: | Články / Articles (NTIS) |
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Soubor | Popis | Velikost | Formát | |
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SkorkovskaL_2013_DynamicThreshold.pdf | Plný text | 170,16 kB | Adobe PDF | Zobrazit/otevřít |
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http://hdl.handle.net/11025/16982
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