Clause-based approach to extracting problem phrases from user reviews of products

dc.contributor.author	Ivanov V.
dc.contributor.author	Tutubalina E.
dc.date.accessioned	2018-09-18T20:27:33Z
dc.date.available	2018-09-18T20:27:33Z
dc.date.issued	2014
dc.identifier.issn	1865-0929
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/140100
dc.description.abstract	©Springer International Publishing Switzerland 2014. This paper describes approaches to problem-phrase extraction from user reviews of products. The first step in problem extraction is to separate sentences with problems from all others. We propose two methods to problem extraction from such sentences: (i) a straightforward algorithm that does not split sentence into clauses and (ii) an improved clause-based algorithm.We claim that both approaches improve the classification performance compared to machine-learning algorithms.
dc.relation.ispartofseries	Communications in Computer and Information Science
dc.subject	Information extraction
dc.subject	Text classification
dc.title	Clause-based approach to extracting problem phrases from user reviews of products
dc.type	Article
dc.relation.ispartofseries-volume	436
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	229
dc.source.id	SCOPUS18650929-2014-436-SID84916214414

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.