A Graph-Based Approach to Topic Clustering for Online Comments to News

ECIR, pp. 15-29, 2016.

Cited by: 23|Bibtex|Views24
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

This paper investigates graph-based approaches to labeled topic clustering of reader comments in online news. For graph-based clustering we propose a linear regression model of similarity between the graph nodes (comments) based on similarity features and weights trained using automatically derived training data. To label the clusters our...More

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