Full Content is available to subscribers

Subscribe/Learn More  >

Visualization Tool for Interpreting User Needs From User-Generated Content via Text Mining and Classification

[+] Author Affiliations
Thomas Stone, Seung-Kyum Choi

Georgia Institute of Technology, Atlanta, GA

Paper No. DETC2014-34424, pp. V02AT03A009; 11 pages
  • ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 2A: 40th Design Automation Conference
  • Buffalo, New York, USA, August 17–20, 2014
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4631-5
  • Copyright © 2014 by ASME


The amount of user-generated content related to consumer products continues to grow as users increasingly take advantage of forums, product review sites, and social media platforms. The content is a promising source of insight into users’ needs and experiences. However, the challenge remains as to how concise and useful insights can be extracted from large quantities of unstructured data. We propose a visualization tool which allows designers to quickly and intuitively sift through large amounts of user-generated content and derive useful insights regarding users’ perceptions of product features. The tool leverages machine learning algorithms to automate labor-intensive portions of the process, and no manual labeling is required by the designer. Language processing techniques are arranged in a novel way to guide the designer in selecting the appropriate inputs, and multidimensional scaling enables presentation of the results in concise 2D plots. To demonstrate the efficacy of the tool, a case study is performed on action cameras. Product reviews from Amazon.com are analyzed as the user-generated content. Results from the case study show that the tool is helpful in condensing large amounts of user-generated content into useful insights, such as the key differentiations that users perceive among similar products.

Copyright © 2014 by ASME



Interactive Graphics


Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In