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题名/责任者:

Text data mining / Chengqing Zong, Rui Xia, Jiajun Zhang = 文本数据挖掘 / 宗成庆, 夏睿, 张家俊著.

出版发行项:

北京 : 清华大学出版社, 2021.

ISBN:

9787302590293

载体形态项:

xvii, 351 pages : illustrations : 24 cm

变异题名:

文本数据挖掘

个人责任者:

Zong, Chengqing author.

附加个人名称:

Xia, Rui author.

附加个人名称:

Zhang, Jiajun author.

论题主题:

Text data mining.

中图法分类号:

TP274

书目附注:

Includes bibliographical references (pages 335-351)

内容附注:

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.

摘要附注:

"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."--Back Cover.

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