A Graph-Based Approach to Topic Clustering for Online Comments to News.
Ahmet AkerEmina KurticA. R. BalamuraliMonica Lestari ParamitaEmma BarkerMark HeppleRobert J. GaizauskasPublished in: ECIR (2016)
Keyphrases
- topic detection
- news articles
- graph clustering
- news stories
- graph theoretic
- graph partitioning
- clustering algorithm
- k means
- blog posts
- graph model
- clustering method
- hot topics
- graph theory
- real time
- graph construction
- web news
- online news
- random walk
- hierarchical clustering
- document clustering
- directed graph
- news items
- self organizing maps
- normalized cut
- graph layout
- topic discovery
- news sites
- user comments
- news topics
- news media
- similarity matrix
- directed acyclic graph
- online learning
- data points
- search engine
- cluster structure
- edge weights
- graph representation
- spanning tree
- short texts
- graph structure
- spectral clustering
- data clustering
- text classification