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  • © 2022

Text Mining for Information Professionals

An Uncharted Territory

  • Explains the application of various text mining approaches on data retrieved from heterogeneous resources

  • Includes 14 case studies showing 8 different text mining and visualization approaches

  • Complemented by a Web site and a Github account containing code, data and Jupyter Notebooks for the case studies

  • Includes supplementary material: sn.pub/extras

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eBook USD 64.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-85085-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 84.99
Price excludes VAT (USA)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xvi
  2. The Computational Library

    • Manika Lamba, Margam Madhusudhan
    Pages 1-31
  3. Text Data and Where to Find Them?

    • Manika Lamba, Margam Madhusudhan
    Pages 33-77
  4. Text Pre-Processing

    • Manika Lamba, Margam Madhusudhan
    Pages 79-103
  5. Topic Modeling

    • Manika Lamba, Margam Madhusudhan
    Pages 105-137
  6. Network Text Analysis

    • Manika Lamba, Margam Madhusudhan
    Pages 139-172
  7. Burst Detection

    • Manika Lamba, Margam Madhusudhan
    Pages 173-190
  8. Sentiment Analysis

    • Manika Lamba, Margam Madhusudhan
    Pages 191-211
  9. Predictive Modeling

    • Manika Lamba, Margam Madhusudhan
    Pages 213-242
  10. Information Visualization

    • Manika Lamba, Margam Madhusudhan
    Pages 243-293
  11. Tools and Techniques for Text Mining and Visualization

    • Manika Lamba, Margam Madhusudhan
    Pages 295-318
  12. Text Data and Mining Ethics

    • Manika Lamba, Margam Madhusudhan
    Pages 319-348
  13. Back Matter

    Pages 349-356

About this book

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. 

Keywords

  • Text Mining
  • Digital Libraries
  • Library Information Systems
  • Data Mining
  • Information Retrieval
  • Machine Learning
  • Data Science
  • Information Visualization
  • Information Science

Authors and Affiliations

  • Library and Information Science, University of Delhi, Delhi, India

    Manika Lamba, Margam Madhusudhan

About the authors

Manika Lamba is a Ph.D. candidate at the Department of Library and Information Science, University of Delhi, India. She is currently serving as the Editor-in-Chief of the International Journal of Library and Information Services (IJLIS), the Elected Standing Committee Member for IFLA Science and Technology Libraries Section, and Newsletter Officer for ASIS&T South Asia Chapter. She was Editor-at-large for dh+lib (an ACRL Digital Humanities Interest Group project) and was featured in the Information Professionals Share their Top Tips for 2019 blog by the Copyright Clearance Center (CCC). She is an active reviewer for more than 17 international journals, including IEEE Access, Scientometrics, Library Hi-Tech, and the Journal of Information Science. Her scholarship focuses on the intersections of computational social science, social informatics, information retrieval, services, and management.

Margam Madhusudhan is currently working as a Professor in the Department of Library and Information Science, University of Delhi, India. He has worked as Deputy Dean Academics and Member of Academic Council at the University of Delhi. He is a member of many academic bodies, editorial board of national and international LIS journals. He is the recipient of the "Award for Excellence" (Highly Commended) in 2019, “Excellence in Research” in 2017, P.V. Verghese Award in 2013. He has 22 years of teaching, administration, and research experience at the university level.

Bibliographic Information

  • Book Title: Text Mining for Information Professionals

  • Book Subtitle: An Uncharted Territory

  • Authors: Manika Lamba, Margam Madhusudhan

  • DOI: https://doi.org/10.1007/978-3-030-85085-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-030-85084-5

  • eBook ISBN: 978-3-030-85085-2

  • Edition Number: 1

  • Number of Pages: XVI, 356

  • Number of Illustrations: 25 b/w illustrations, 139 illustrations in colour

  • Topics: Data Mining and Knowledge Discovery, Library Science, Computer and Information Systems Applications

Buying options

eBook USD 64.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-85085-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 84.99
Price excludes VAT (USA)