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Image of Text Mining for Information Professionals: An Uncharted Territory

Electronic Resource

Text Mining for Information Professionals: An Uncharted Territory

Lamba, Manika - Personal Name; Madhusudhan, Margam - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
2008000279EB0004829005.74 Lam tCentral Library (Database Springer E-Book)Available
Detail Information
Series Title
-
Call Number
005.74 Lam t
Publisher
Switzerland : Springer Cham., 2022
Collation
xvi, 356p.: Ill.
Language
English
ISBN/ISSN
978-3-030-85085-2
Classification
005.74
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Data mining
Specific Detail Info
-
Statement of Responsibility
RTS
Other version/related
TitleEditionLanguage
Text Mining; Analisis MedSos, Kekuatan Brand & Intelejen di Internet1id
File Attachment
  • Text Mining for Information Professionals: An Uncharted Territory
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