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Gender Identification in Russian Texts

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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


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