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Text mining: concepts, implementation, and big data challenge

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Author(s): Jo, Taeho
Series: Studies in big data 45
Publisher: Springer
Year: 2019

Language: English
Pages: 373
Tags: Data mining.;Big data.

Content: Part I: Foundation1 Introduction2 Text Indexing3 Text Encoding4 Text AssociationPart II: Text Categorization5 Text Categorization: Conceptual View6 Text Categorization: Approaches7 Text Categorization: Implementation8 Text Categorization: EvaluationPart III: Text Clustering9 Text Clustering: Conceptual View10 Text Clustering: Approaches11 Text Clustering: Implementation12 Text Clustering: EvaluationPart IV: Advanced Topics13 Text Summarization14 Text Segmentation15 Taxonomy Generation16 Dynamic Document OrganizationReferencesIndex