M.Sc. Tezi Görüntüleme

Student: Masoud TALEBİ
Supervisor: Assoc. Prof. Dr. Cemal KÖSE
Department: Bilgisayar Mühendisliği
Institution: Graduate School of Natural and Applied Sciences
University: Karadeniz Technical University Turkey
Title of the Thesis: Comment Mining For Identifying Gender, Age And Education Level on Facebook
Level: M.Sc.
Acceptance Date: 10/6/2013
Number of Pages: 79
Registration Number: i2632
Summary:

      As the use of social media rises in different layers of the society, alongside of useful applications, some abuses of these media are also rising. The people who create fake accounts with a profile details differ from what they really are and pretending opposite gender, lower age, or higher education level for cheating people or hiding real identity are some of the abuses of the social media. Identifying real identity of a person in social media can be vital for preventing crimes.

      

      Key Words: Social Media, Facebook, Gender, Age, Education level, Text mining, SAM.