pakdd06-Tutorial Text Clustering-v6

„„„„„„„„„„„„„„„„„Text Clustering: Section 0Algorithms, Semantics and Systems1 2 Joshua Zhexue Huang & Michael Ng.1& Liping Jing Introduction1 The University of Hong Kong2 Hong Kong Baptist UniversityApril 9, 2006 PAKDD06 Tutorial SingaporeIntroduction to Text Clustering ChallengesUnlike clustering structured data, clustering text data faces Text data is ubiquitous. a number of new challenges. As the volume of text data increases, management and Volume,analysis of text data becomes unprecedentedly important. Dimensionality,Text mining is an emerging technology for handling the Sparsity, and increasing text data. Complex semantics. Text clustering is one of the fundamental functions in text These characteristics require clustering techniques to be mining.scalable to large and high dimensional data, and able to Text clustering is to divide a collection of text documents intohandle sparsity and semantics. different category groups so that documents in the same categorygroup describe the same topic, such as classic music or Chinese history.8/3/2006 PAKDD2006 3 8/3/2006 PAKDD2006 4Objectives of This Tutorial Text Clustering ArchitectureIntroduce techniques of text clustering, including Text data representation techniques and preprocessing methods that are used to convert original text in various formats into a representation model. Use of ontology to enhance semantic representation of the original model. Classical clustering ...