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Название: Text Data Mining
Автор: Chengqing Zong, Rui Xia
Издательство: Springer, Tsinghua University Press
Год: 2021
Страниц: 363
Язык: английский
Формат: pdf (true), epub
Размер: 25.7 MB
Focuses on text data mining from an NLP perspective. This book discusses various aspects of text data mining. Unlike other books that focus on Machine Learning (ML) or databases, it approaches text data mining from a natural language processing (NLP) perspective. Text mining is a confluence of natural language processing, data mining, Machine Learning, and statistics used to mine knowledge from unstructured text. There have already been multiple textbooks dedicated to data mining, Machine Learning, statistics, and natural language processing. However, we seriously lack textbooks on text mining that systematically introduce important topics and up-to-date methods for text mining. This book, “Text Data Mining,” bridges this gap nicely. It is the first textbook, and a brilliant one, on text data mining that not only introduces foundational issues but also offers comprehensive and state-of-the-art coverage of the important and ongoing research themes on text mining.
Автор: Chengqing Zong, Rui Xia
Издательство: Springer, Tsinghua University Press
Год: 2021
Страниц: 363
Язык: английский
Формат: pdf (true), epub
Размер: 25.7 MB
Focuses on text data mining from an NLP perspective. This book discusses various aspects of text data mining. Unlike other books that focus on Machine Learning (ML) or databases, it approaches text data mining from a natural language processing (NLP) perspective. Text mining is a confluence of natural language processing, data mining, Machine Learning, and statistics used to mine knowledge from unstructured text. There have already been multiple textbooks dedicated to data mining, Machine Learning, statistics, and natural language processing. However, we seriously lack textbooks on text mining that systematically introduce important topics and up-to-date methods for text mining. This book, “Text Data Mining,” bridges this gap nicely. It is the first textbook, and a brilliant one, on text data mining that not only introduces foundational issues but also offers comprehensive and state-of-the-art coverage of the important and ongoing research themes on text mining.