Topic modeling for answers detection in online game chats

dc.contributor.author	Sirotkin A.
dc.contributor.author	Musabirov I.
dc.contributor.author	Okopny P.
dc.contributor.author	Bulygin D.
dc.contributor.author	Ivanov V.
dc.date.accessioned	2018-09-19T21:31:01Z
dc.date.available	2018-09-19T21:31:01Z
dc.date.issued	2016
dc.identifier.issn	1613-0073
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/144086
dc.description.abstract	Helping behavior is a significant part of social learning process in online games. One type of such a behavior is answering questions in a chat. We provide a method to detect if the question asked in a chat was answered and by whom. Proposed method is based on topic modeling for chat messages and comparison of a detected topic of question with a topic of possible reply. We show its efficiency on chat messages from online games.
dc.relation.ispartofseries	CEUR Workshop Proceedings
dc.subject	Chats
dc.subject	Online games
dc.subject	Topic modeling
dc.title	Topic modeling for answers detection in online game chats
dc.type	Conference Paper
dc.relation.ispartofseries-volume	1710
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	329
dc.source.id	SCOPUS16130073-2016-1710-SID85017155339

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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.