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Improving Topic Evaluation Using Conceptual Knowledge

Musat, Claudiu Cristian; Velcin, Julien; Trausan-Matu, Stefan; Rizoiu, Marian-Andrei


The growing number of statistical topic models led to the need to better evaluate their output. Traditional evaluation means estimate the model's fitness to unseen data. It has recently been proven than the output of human judgment can greatly differ from these measures. Thus the need for methods that better emulate human judgment is stringent. In this paper we present a system that computes the conceptual relevance of individual topics from a given model on the basis of information drawn from...[Show more]

CollectionsANU Research Publications
Date published: 2011
Type: Conference paper
Source: On Qualitative Route Descriptions: Representation and Computational Complexity
DOI: 10.5591/978-1-57735-516-8/IJCAI11-312
Access Rights: Open Access


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