Webinsight : towards modelling correlation and evolution of web do.

The main aim of the WebInsight project is to explore topic and other content models for analysis, comparison and summarization of textual content, potentially in multiple languages. The research builds on and expands probabilistic models such as probabilistic Latent Semantic Analysis (pLSA) and Latent Dirichlet Allocation (LDA) and can be applied in many text mining tasks such as spatio-temporal text mining, cross-collection comparative analysis and cross-lingual mining. The research insights and the developed technologies are evaluated on Chinese and English Web documents such as online news sites and blogs.

Keywords:Probabilistic modeling, Text mining

Disciplines:Artificial intelligence, Cognitive science and intelligent systems