Survey of Text Mining

I Clustering and Classification. - 1 Cluster-Preserving Dimension Reduction Methods for Efficient Classification of Text Data. - 2 Automatic Discovery of Similar Words. - 3 Simultaneous Clustering and Dynamic Keyword Weighting for Text Documents. - 4 Feature Selection and Document Clustering. - II Information Extraction and Retrieval. - 5 Vector Space Models for Search and Cluster Mining. - 6 HotMiner: Discovering Hot Topics from Dirty Text. - 7 Combining Families of Information Retrieval Algorithms Using Metalearning. - III Trend Detection. - 8 Trend and Behavior Detection from Web Queries. - 9 A Survey of Emerging Trend Detection in Textual Data Mining. Language: English