It is often desirable to identify the concepts that are present in a corpus. A popular way to deal with this objective is to discover clusters of words or topics, for which many algorithms exist in the literature. Yet most of these methods lack the interpretability that would enable interaction with a user not familiar with their inner workings.
In this area we have proposed a topic modeling approach, where its speed and easy interpretation makes it very appropriate to be used interactively by lay users.
- A. Srivastava, A.J. Soto, E. Milios. “A Graph-based Topic Extraction Method enabling Simple Interactive Customization”. 13th ACM Symposium on Document Engineering (DocEng). September 10-13, 2013; Florence, Italy.