Text Mining for Information Professionals (PDF)
The book contains 11 chapters with...
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
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.
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.
- Autoren: Manika Lamba , Margam Madhusudhan
- 2022, 1st ed. 2022, 356 Seiten, Englisch
- Verlag: Springer Nature Switzerland
- ISBN-10: 3030850854
- ISBN-13: 9783030850852
- Erscheinungsdatum: 21.04.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 21 MB
- Ohne Kopierschutz
- Vorlesefunktion
Schreiben Sie einen Kommentar zu "Text Mining for Information Professionals".
Kommentar verfassen