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http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/8221| Title: | Gender Identification in Russian Texts |
| Authors: | Sharma, Yashvardhan |
| Keywords: | Computer Science Author Profillation Deep Learning NLP Gender Identification Rule-based Classification |
| Issue Date: | Dec-2017 |
| Publisher: | CEUR |
| 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. |
| URI: | https://ceur-ws.org/Vol-2036/T1-3.pdf http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8221 |
| Appears in Collections: | Department of Computer Science and Information Systems |
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