Survey of Text Mining: Clustering, Classification, and Retrieval

I: CLUSTERING & CLASSIFICATION: * Cluster-preserving dimension reduction methods for efficient classification of text data * Automatic discovery of similar words * Simultaneous clustering and dynamic keyword weighting for text documents * Feature selection and document clustering II: INFORMATION EXTRACTION & RETRIEVAL: * Vector space models for search and cluster mining * HotMiner--Discovering hot topics from dirty text * Combining families of information retrieval algorithms using meta-learning III: TREND DETECTION: * Trend and behavior detection from Web queries * A survey of emerging trend detection in textual data mining * Index