Dictionary-based problem phrase extraction from user reviews

dc.contributor.author	Solovyev V.
dc.contributor.author	Ivanov V.
dc.date.accessioned	2018-09-18T20:08:21Z
dc.date.available	2018-09-18T20:08:21Z
dc.date.issued	2014
dc.identifier.issn	0302-9743
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/136892
dc.description.abstract	This paper describes a system for problem phrase extraction from texts that contain users' reviews of products. In contrast to recent works, this system is based on dictionaries and heuristics, not a machine learning algorithms. We explored two approaches to dictionary construction: manual and automatic. We evaluated the system on a dataset constructed using Amazon Mechanical Turk. Performance values are compared to a machine learning baseline. © 2014 Springer International Publishing.
dc.relation.ispartofseries	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.subject	information extraction
dc.subject	natural language processing
dc.title	Dictionary-based problem phrase extraction from user reviews
dc.type	Conference Paper
dc.relation.ispartofseries-volume	8655
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	225
dc.source.id	SCOPUS03029743-2014-8655-SID84906971594

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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.