A Graph-Based Approach to Topic Clustering for Online Comments to News
ECIR, pp. 15-29, 2016.
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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