ReviewMap: An Exploratory Text Mining System for Competitive Analysis Using Online Reviews

William J. Amadio, Rider University - Lawrenceville

ABSTRACT
What is our greatest perceived strength? And how important is that feature to our competitors' customers? To answer such questions, we introduce ReviewMap, a text mining/visualization system for competitive analysis using online reviews. ReviewMap transforms an archive of reviews spanning multiple suppliers into a hierarchy of data of increasing dimensionality. Visual summaries at each level are integrated to propagate selections at one level throughout the rest of the hierarchy. Our design enables analysts to identify features required for competition at a given level and features that currently discriminate amongst competitors. This intelligence can be used to plan competitive actions, anticipate rivals' actions and find opportunities in changing and/or less competitive spaces.

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Updated 02/21/2015