Gender Identification in Russian Texts

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DC Field	Value	Language
dc.contributor.author	Sharma, Yashvardhan	-
dc.date.accessioned	2023-01-02T10:36:14Z	-
dc.date.available	2023-01-02T10:36:14Z	-
dc.date.issued	2017-12	-
dc.identifier.uri	https://ceur-ws.org/Vol-2036/T1-3.pdf	-
dc.identifier.uri	http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8221	-
dc.description.abstract	The last few years have seen a massive research related to automatic retrieving of information from the text, mainly the information about its author (authorship profiling) like gender, age etc. The automatic extraction of the information from text related to gender is essential to forensics, security, and marketing. For example, companies may be interested to learn about the gender of the people who likes or dislikes their products which can then be analyzed to know which section of the market is disliking their products. It helps in improving the sales of a company.	en_US
dc.language.iso	en	en_US
dc.publisher	CEUR	en_US
dc.subject	Computer Science	en_US
dc.subject	Author Profillation	en_US
dc.subject	Deep Learning	en_US
dc.subject	NLP	en_US
dc.subject	Gender Identification	en_US
dc.subject	Rule-based Classification	en_US
dc.title	Gender Identification in Russian Texts	en_US
dc.type	Article	en_US
Appears in Collections:	Department of Computer Science and Information Systems

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