The Locator -- [(subject = "Data mining")]

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001 EF4AFCB0477411EC81CA9FE82DECA4DB
003 SILO
005 20211117010121
008 210108s2021    si a     b    000 0 eng d
020    $a 9811600996
020    $a 9789811600999
035    $a (OCoLC)1229142724
040    $a YDX $b eng $e rda $c YDX $d BDX $d YDX $d OCLCO $d OCLCF $d SILO
050  4 $a JA71.5 $b .Z65 2021
100 1  $a Zong, Chengqing, $e author.
245 10 $a Text data mining / $c Chengqing Zong, Rui Xia, Jiajun Zhang.
264  1 $a Singapore : $b Springer, $c [2021]
300    $a xxi, 351 pages : $b illustrations (some color) ; $c 25 cm
504    $a Includes bibliographical references.
505 0  $a Chapter 1. Introduction -- Chapter 2. Data Annotation and Preprocessing -- Chapter 3. Text Representation -- Chapter 4. Text Representation with Pretraining and Fine-tuning -- Chapter 5. Text classification -- Chapter 6. Text Clustering -- Chapter 7. Topic Model -- Chapter 8. Sentiment Analysis and Opinion Mining -- Chapter 9. Topic Detection and Tracking -- Chapter 10. Information Extraction -- Chapter 11. Automatic Text Summarization.
520    $a 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.
650  0 $a Text data mining.
650  7 $a Text data mining. $2 fast $0 (OCoLC)fst02008831
700 1  $a Xia, Rui, $e author.
700 1  $a Zhang, Jiajun, $e author.
941    $a 1
952    $l OVUX522 $d 20220526014026.0
956    $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=EF4AFCB0477411EC81CA9FE82DECA4DB

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