Text mining tools in legal documents

dc.contributor.author	Zuev D.
dc.contributor.author	Marchenko A.
dc.contributor.author	Khasiannov A.
dc.date.accessioned	2018-04-05T07:09:55Z
dc.date.available	2018-04-05T07:09:55Z
dc.date.issued	2017
dc.identifier.issn	1613-0073
dc.identifier.uri	http://dspace.kpfu.ru/xmlui/handle/net/130060
dc.description.abstract	We present the architecture of the system for the intellectual textual analysis in jurisprudence based on microservices. The system can identify common dependencies on an existing database of legal documents, provide legal cases close to each other, familiarize them with the most probable outcomes of judicial review or mark out important places during procedural actions.
dc.relation.ispartofseries	CEUR Workshop Proceedings
dc.subject	Analytics and data management
dc.subject	Clustering
dc.subject	Data intensive domains
dc.subject	Digital libraries
dc.subject	Microservices
dc.subject	Recommender system
dc.title	Text mining tools in legal documents
dc.type	Conference Paper
dc.relation.ispartofseries-volume	2022
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	214
dc.source.id	SCOPUS16130073-2017-2022-SID85040673542

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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.