Document collections evolve over time, new topics emerge and old ones decline. At the same time, the terminology evolves as well. Much literature is devoted to topic evolution in ...
Abstract. We propose a novel probabilistic method, based on latent variable models, for unsupervised topographic visualisation of dynamically evolving, coherent textual information...
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...
Studying the evolution of topics (collections of co-occurring words) in a software project is an emerging technique to automatically shed light on how the project is changing over...
Stephen W. Thomas, Bram Adams, Ahmed E. Hassan, Do...
Approach based on clustering will be described in our paper. Basic version of our system was given in [5] allows us to expand query through special index. Hierarchical agglomerativ...