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Topic Modeling Applied to Infection Prevention Related Social Media Posts

Haag CW, Haag V. [abstract]. In: SHEA Spring 2015: Science Guiding Prevention; 2015 May 14-17; Orlando, FL: SHEA; 2015. Abstract #6977.

Background:

Infection prevention educators have increasingly leveraged social media to promote trends in research, technology, and best-practices. Given the magnitude of infection prevention content social media, it may be difficult for users to identify the broader educational themes. Additionally, as social media messages are highly tailored to the user’s network, a large portion of the content may be missed by the user. The objective of this study is to identify and measure themes in Twitter discussions containing the term “infection prevention” using machine-learning techniques... View Abstract (click View Submission)