Gender identification from Facebook status using term classification and occurrence / Danna Majdiah Anafiah

• Main Author: Anafiah, Danna Majdiah
• Format: Thesis
• Language: English
• Published: 2013
• Subjects: Facebook; Analysis
• Online Access: https://ir.uitm.edu.my/id/eprint/87155/1/87155.pdf; https://ir.uitm.edu.my/id/eprint/87155/

Computer technology has caused a big impact in our daily life. People nowadays mostly socialize through social networks since it is efficient and the fastest way to communicate regardless geographical boundaries. However, social networks have brought some drawbacks and disadvantages to the society. Some irresponsible people use social networks to do crimes and violation to other social network's users by faking their true identities including their name, age and gender. Therefore, this research will focus on gender identification from Facebook status posted and how gender can be classified through the occurrence and frequency of language style used by male and female users. This research focused on Facebook status in Malay language only due to time constraint and scope limitation of the project.