Identifying Terrorism-Related Postings in Twitter for Malay language

• Main Author: Mohd Nadzri, Merissa Nazriana
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi Petronas 2013
• Online Access: http://utpedia.utp.edu.my/13562/1/merissa_13963.pdf; http://utpedia.utp.edu.my/13562/

In this day and age, social media is the fastest way of receiving the latest news. Users have the freedom to post and read any posts that have been posted regarding any topic. Through the social media, Terrorism groups have used this as one of the method to recruit new members. The youths are their main target. A system to detected posting in Twitter is available but only in certain aspect. There is no system to detect terrorism related tweets that are in the Malay language. Therefore, the purpose of the project is to automatically detect terrorism-related tweets in Malay. The social network medium will be Twitter and the tweets that will be focused on terrorism-related in Malay language. The target user for this project would be the people who are using the Twitter. However, the main target user for this project, it would be the youngsters that are using the Twitter. The method that will be used for the program would be Naïve Bayes. Based on the result collected from the pilot study, a couple of patterns can be derived from it. These patterns will be very beneficial in the development of the project.