Topic description is as important as topic detection. In this paper, we propose a novel method to describe Web topics with topic words. Under the assumption that representative wo...
Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...
Both Topic Maps and RDF are popular semantic web standards designed for machine processing of web documents. Since these representations were originally created for different purpo...
We propose a method for discovering the dependency relationships between the topics of documents shared in social networks using the latent social interactions, attempting to answ...
Since the advent of public data repositories for proteomics data, readily accessible results from high-throughput experiments have been accumulating steadily. Several large-scale p...
Sebastian Klie, Lennart Martens, Juan Antonio Vizc...