Work

Exploring Keystroke Dynamics and Stylometry Features for Gender Prediction on Chat Data

Year: 2019

Type: conference-paper

Source: International Convention on Information and Communication Technology, Electronics and Microelectronics

DOI: 10.23919/mipro.2019.8756740

Authors: Guoqiang Li, Parisa Rezaee Borj, Loic Bergeron, Patrick Bours

Institution: Norwegian University of Science and Technology

Language: English

Topic: Authorship Attribution and Profiling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Gender equality

Open Access status: closed

OpenAlex ID: W2957717733

FWCI: 0.408

Cites: 15

Cited by: 9

Related to: 10