Automatic Text Categorization and Clustering are becoming more and more
important as the amount of text in electronic format grows and the access to it
becomes more necessary and widespread. Well known applications are spam
filtering and web search, but a large number of everyday uses exist (intelligent
web search, data mining, law enforcement, etc.) Currently, researchers are
employing many intelligent techniques for text categorization and clustering,
ranging from support vector machines and neural networks to Bayesian inference
and algebraic methods, such as Latent Semantic Indexing. This volume offers a
wide spectrum of research work developed for intelligent text categorization and
clustering. In the following, we give