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Wright State University

1. Barnard, Sydney A. Content-based Clustering and Visualization of Social Media Text Messages.

Degree: MS, Computer Science, 2018, Wright State University

Although Twitter has been around for more than ten years, crisis management agencies and first response personnel are not able to fully use the information this type of data provides during a crisis or natural disaster. This thesis addresses clustering and visualizing social media data by textual similarity, rather than by only time and location, as a tool for first responders. This thesis presents a tool that automatically clusters geotagged text data based on their content and displays the clusters and their locations on the map. It allows at-a-glance information to be displayed throughout the evolution of a crisis. For accurate clustering, we used silhouette coefficients to determine the number of clusters automatically. To visualize the topics (i.e., frequent words) within each cluster, we used the word cloud. This tool could be easily used by first response and official management personnel to quickly determine when a crisis is occurring, where it is concentrated, and what resources to best deploy to stabilize the situation. Advisors/Committee Members: Chung, Soon (Advisor).

Subjects/Keywords: Computer Science; Twitter; content-based clustering; social media; crisis management

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Barnard, S. A. (2018). Content-based Clustering and Visualization of Social Media Text Messages. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1527085083542772

Chicago Manual of Style (16th Edition):

Barnard, Sydney A. “Content-based Clustering and Visualization of Social Media Text Messages.” 2018. Masters Thesis, Wright State University. Accessed June 23, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=wright1527085083542772.

MLA Handbook (7th Edition):

Barnard, Sydney A. “Content-based Clustering and Visualization of Social Media Text Messages.” 2018. Web. 23 Jun 2018.

Vancouver:

Barnard SA. Content-based Clustering and Visualization of Social Media Text Messages. [Internet] [Masters thesis]. Wright State University; 2018. [cited 2018 Jun 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1527085083542772.

Council of Science Editors:

Barnard SA. Content-based Clustering and Visualization of Social Media Text Messages. [Masters Thesis]. Wright State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1527085083542772

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