Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
The Markov Random Walk model has been recently exploited for multi-document summarization by making use of the link relationships between sentences in the document set, under the ...
GeoCLEF is an evaluation initiative for testing queries with a geographic specification in large set of text documents. GeoCLEF ran a regular track for the third time within the C...
Thomas Mandl, Paula Carvalho, Giorgio Maria Di Nun...
Cluster label quality is crucial for browsing topic hierarchies obtained via document clustering. Intuitively, the hierarchical structure should influence the labeling accuracy. H...
In this paper, we introduce the idea of Intent Analysis, which is to create a profile of the goals and intentions present in textual content. Intent Analysis, similar to Sentiment...