Defining the gender of the author of the short text by machine learning methods
Bibliographic description of the article for the citation:
Олег Храпов. Defining the gender of the author of the short text by machine learning methods//Science online: International Scientific e-zine - 2019. - №11. - https://nauka-online.com/en/publications/tehnicheskie-nauki/2019/11/opredelenie-pola-avtora-korotkogo-teksta-metodami-mashinnogo-obucheniya/
Annotation: This article discusses the use of machine learning methods for classifying texts by the author's gender in the example of short stories written in Russian. The algorithm and process of data preparation were demonstrated, training and testing of the Bayesian classifier were performed to distinguish the gender of the author of the text. The results of determining the gender of the authors are presented and conclusions are drawn about the advantages and disadvantages of the presented approach.