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Text Mining for Information Professionals - An Uncharted Territory (Paperback, 1st ed. 2022) Loot Price: R2,221
Discovery Miles 22 210
Text Mining for Information Professionals - An Uncharted Territory (Paperback, 1st ed. 2022): Manika Lamba, Margam Madhusudhan

Text Mining for Information Professionals - An Uncharted Territory (Paperback, 1st ed. 2022)

Manika Lamba, Margam Madhusudhan

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Loot Price R2,221 Discovery Miles 22 210 | Repayment Terms: R208 pm x 12*

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This book focuses on a basic theoretical framework dealing with the problems, solutions, and applications of text mining and its various facets in a very practical form of case studies, use cases, and stories. The book contains 11 chapters with 14 case studies showing 8 different text mining and visualization approaches, and 17 stories. In addition, both a website and a Github account are also maintained for the book. They contain the code, data, and notebooks for the case studies; a summary of all the stories shared by the librarians/faculty; and hyperlinks to open an interactive virtual RStudio/Jupyter Notebook environment. The interactive virtual environment runs case studies based on the R programming language for hands-on practice in the cloud without installing any software. From understanding different types and forms of data to case studies showing the application of each text mining approaches on data retrieved from various resources, this book is a must-read for all library professionals interested in text mining and its application in libraries. Additionally, this book will also be helpful to archivists, digital curators, or any other humanities and social science professionals who want to understand the basic theory behind text data, text mining, and various tools and techniques available to solve and visualize their research problems.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: April 2022
Authors: Manika Lamba • Margam Madhusudhan
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 356
Edition: 1st ed. 2022
ISBN-13: 978-3-03-085084-5
Categories: Books > Reference & Interdisciplinary > Library & information sciences > General
Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Applications of computing > Databases > Data mining
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LSN: 3-03-085084-6
Barcode: 9783030850845

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