Extracting South African safety and security incident patterns from social media

Marivate, Vukosi N2016-02-232016-02-232015-11Marivate, VN. 2015. Extracting South African safety and security incident patterns from social media. In: Proceedings of the 2015 Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference, 26-27 November, Port Elizabeth, South Africahttp://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7359507http://hdl.handle.net/10204/8383Proceedings of the 2015 Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference, 26-27 November, Port Elizabeth, South Africa. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's websiteThe use of social media data to gain insights into public phenomena is a potentially powerful tool. We present the use of social media data analysis, connected with crime and public safety incidents, to better understand reoccurring topics and potentially feed into an automated incident detection application. We collected a size-able dataset of Twitter posts (more than 60,000) over a 3 month period by monitoring crime and public safety related keywords linked to accounts. By splitting the data into two categories we are able to extract topics as well as compare and contrast how monitoring official crime and public safety accounts differs from monitoring individuals and organisations that may not be part of that group. Finally we discuss a prototype application, which uses social media data as well as locations to calculate metrics using potential crime and public safety related incidents.enSocial mediaTopic modellingPublic safetyData miningExtracting South African safety and security incident patterns from social mediaConference PresentationMarivate, V. N. (2015). Extracting South African safety and security incident patterns from social media. IEEE Xplore. http://hdl.handle.net/10204/8383Marivate, Vukosi N. "Extracting South African safety and security incident patterns from social media." (2015): http://hdl.handle.net/10204/8383Marivate VN, Extracting South African safety and security incident patterns from social media; IEEE Xplore; 2015. http://hdl.handle.net/10204/8383 .TY - Conference Presentation AU - Marivate, Vukosi N AB - The use of social media data to gain insights into public phenomena is a potentially powerful tool. We present the use of social media data analysis, connected with crime and public safety incidents, to better understand reoccurring topics and potentially feed into an automated incident detection application. We collected a size-able dataset of Twitter posts (more than 60,000) over a 3 month period by monitoring crime and public safety related keywords linked to accounts. By splitting the data into two categories we are able to extract topics as well as compare and contrast how monitoring official crime and public safety accounts differs from monitoring individuals and organisations that may not be part of that group. Finally we discuss a prototype application, which uses social media data as well as locations to calculate metrics using potential crime and public safety related incidents. DA - 2015-11 DB - ResearchSpace DP - CSIR KW - Social media KW - Topic modelling KW - Public safety KW - Data mining LK - https://researchspace.csir.co.za PY - 2015 T1 - Extracting South African safety and security incident patterns from social media TI - Extracting South African safety and security incident patterns from social media UR - http://hdl.handle.net/10204/8383 ER -