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Text data mining / Chengqing Zong, Rui Xia, Jiajun Zhang.

9789811601002 (electronic bk.)
9811601003 (electronic bk.)
9789811601019 (print)
9811601011
9789811601026 (print)
981160102X
9789811600999
9811600996

Singapore : Springer, [2021]

English

1 online resource : illustrations (some color)

10.1007/978-981-16-0100-2 doi

JA71.5

006.3/12

This book discusses various aspects of text data mining. Unlike other books that focus on machine learning or databases, it approaches text data mining from a natural language processing (NLP) perspective. The book offers a detailed introduction to the fundamental theories and methods of text data mining, ranging from pre-processing (for both Chinese and English texts), text representation and feature selection, to text classification and text clustering. It also presents the predominant applications of text data mining, for example, topic modeling, sentiment analysis and opinion mining, topic detection and tracking, information extraction, and automatic text summarization. Bringing all the related concepts and algorithms together, it offers a comprehensive, authoritative and coherent overview. Written by three leading experts, it is valuable both as a textbook and as a reference resource for students, researchers and practitioners interested in text data mining. It can also be used for classes on text data mining or NLP.

Includes bibliographical references.

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Online resource; title from PDF title page (EBSCO, viewed June 2, 2021).

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