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Text Data Mining
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Description
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.
Product details
Edition:
1
Number of Pages:
376
Release Date:
2021-05-23
Publication Date:
2021-05-23
Publisher:
Springer
Languages:
Original:
English
ISBN10:
9811600996
ISBN13:
9789811600999
Weight:
797 g
Height:
160 cm
Width:
241 cm
Thickness:
25 cm
Condition
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Very good
Almost no signs of wear. Book pages have no markings, accessories are intact and all other media are in good condition.
€27,99