Gender Identification in Russian Texts

dc.contributor.authorSharma, Yashvardhan
dc.date.accessioned2023-01-02T10:36:14Z
dc.date.available2023-01-02T10:36:14Z
dc.date.issued2017-12
dc.description.abstractThe 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.identifier.urihttps://ceur-ws.org/Vol-2036/T1-3.pdf
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8221
dc.language.isoenen_US
dc.publisherCEURen_US
dc.subjectComputer Scienceen_US
dc.subjectAuthor Profillationen_US
dc.subjectDeep Learningen_US
dc.subjectNLPen_US
dc.subjectGender Identificationen_US
dc.subjectRule-based Classificationen_US
dc.titleGender Identification in Russian Textsen_US
dc.typeArticleen_US

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