In this paper we propose an integration of a selforganizing map and semantic networks from WordNet for a text classification task using the new Reuters news corpus. This neural mo...
Abstract. Locating specific chunks (records) of information within documents on the web is an interesting and nontrivial problem. If the problem of locating and separating records...
This work discusses the effectiveness of desktop virtual reality as a metaphor for navigating through information in structured Web sites. The work is based on a model for informa...
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Many text documents naturally have two kinds of labels. For example, we may label web pages from universities according to their categories, such as "student" or "fa...