Abstract

Social media data can be collected and analyzed during and after crisis events to aid in disaster relief efforts. Setting up a system to perform this analysis is associated with various technical challenges. This thesis presents the design and implementation of a social media analysis as a service system. This system is hosted on cloud infrastructure and allows for on demand collection, processing, and delivery of social media data via an intuitive web interface. The service model and cloud infrastructure allow the system to be highly scalable and produce near real time analysis data. A cost evaluation of the system was performed and presented in this thesis. The SMAS system was evaluated through a user study and participants found the system unique, interesting, and easy to understand and use. The usability of the system was also evaluated during the user study and resulted in a system usability score of 79.25 out of 100. Suggestions to improve the system and increase its adoptability are also discussed. The thesis concludes with suggestions for future work.

Degree

College and Department

Ira A. Fulton College of Engineering and Technology; Technology

Rights

https://lib.byu.edu/about/copyright/