Abstract

http://ssrn.com/abstract=2154367
 


 



Semantic Transforms Using Collaborative Knowledge Bases


Yegin Genc


Stevens Institute of Technology - Wesley J. Howe School of Technology Management

Winter Mason


Facebook; Stevens Institute of Technology - Wesley J. Howe School of Technology Management

Jeffrey V. Nickerson


Stevens Institute of Technology - Wesley J. Howe School of Technology Management

November 7, 2013

Howe School Research Paper No. 2013-23

Abstract:     
Topic models are used to classify documents, and they do so by designating sets of keywords that describe ideas, leaving interpretation of these keywords to humans. In this paper, we create variants of topic models in which documents are classified by the Wikipedia page that they match best; in this way we generate human-understandable topic names – Wikipedia page titles. We tested our method on a dataset – ACM abstracts – that had been manually classified into topics by the papers' authors. Our results often matched the authors' classifications. Moreover, the topics identified are clearer than the LDA topic modeling results. Our technique may have application to many other types of texts, including social media.

Number of Pages in PDF File: 5

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Date posted: September 30, 2012 ; Last revised: November 26, 2013

Suggested Citation

Genc, Yegin and Mason, Winter and Nickerson, Jeffrey V., Semantic Transforms Using Collaborative Knowledge Bases (November 7, 2013). Howe School Research Paper No. 2013-23. Available at SSRN: http://ssrn.com/abstract=2154367 or http://dx.doi.org/10.2139/ssrn.2154367

Contact Information

Yegin Genc (Contact Author)
Stevens Institute of Technology - Wesley J. Howe School of Technology Management ( email )
Hoboken, NJ 07030
United States

Winter Mason
Facebook ( email )
1601 S. California Ave.
Palo Alto, CA 94304
United States
Stevens Institute of Technology - Wesley J. Howe School of Technology Management ( email )
Hoboken, NJ 07030
United States

Jeffrey V. Nickerson
Stevens Institute of Technology - Wesley J. Howe School of Technology Management ( email )
Hoboken, NJ 07030
United States

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