Brij B Gupta (editor) - Data Mining Approaches for Big Data and Sentiment Analysis in Social Media (Advances in Data Mining and Database Management)

Data Mining Approaches for Big Data and Sentiment Analysis in Social Media

• Brij B. Gupta
  National Institute of Technology, Kurukshetra, India
• Dragan Perakovi
  University of Zagreb, Croatia
• Ahmed A. Abd El-Latif
  Menoufia University, Egypt
• Deepak Gupta
  LoginRadius Inc., Canada

A volume in the Advances in Data Mining and Database Management (ADMDM) Book Series Book Series

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Library of Congress Cataloging-in-Publication Data

Names: Gupta, Brij, 1982- editor.
Title: Data mining approaches for big data and sentiment analysis in social
media / Brij B. Gupta, Dragan Perakovic, Ahmed A. Abd El-Latif and
Deepak Gupta, editor.
Description: Hershey, PA : Engineering Science Reference, 2021. | Includes
bibliographical references and index. | Summary: "This book explores the
key concepts of data mining and utilizing them on online social media
platforms, offering valuable insight into data mining approaches for big
data and sentiment analysis in online social media and covering many
important security and other aspects and current trends"-- Provided by
publisher.
Identifiers: LCCN 2021019408 (print) | LCCN 2021019409 (ebook) | ISBN
9781799884132 (h/c) | ISBN 9781799884149 (s/c) | ISBN 9781799884156
(eISBN)
Subjects: LCSH: Data mining. | Sentiment analysis. | Big data. | Discourse
analysis. | Webometrics. | Online social networks.
Classification: LCC QA76.9.D343 D382266 2021 (print) | LCC QA76.9.D343
(ebook) | DDC 006.3/12--dc23
LC record available at https://lccn.loc.gov/2021019408
LC ebook record available at https://lccn.loc.gov/2021019409

This book is published under the IGI Global book series Advances in Data Mining and Database Management (ADMDM) (ISSN: 2327-1981 eISSN: 2327-199X)

British Cataloguing in Publication Data

A Cataloguing in Publication record for this book is available from the British Library.

All work contributed to this book is new, previously-unpublished material. The views expressed in this book are those of the authors, but not necessarily of the publisher.

Advances in Data Mining and Database Management (ADMDM) Book Series David Taniar (Monash University, Australia) ISSN: 2327-1981

With the large amounts of information available to organizations in todays digital world, there is a need for continual research surrounding emerging methods and tools for collecting, analyzing, and storing data.

The Advances in Data Mining & Database Management (ADMDM) series aims to bring together research in information retrieval, data analysis, data warehousing, and related areas in order to become an ideal resource for those working and studying in these fields. IT professionals, software engineers, academicians and upper-level students will find titles within the ADMDM book series particularly useful for staying up-to-date on emerging research, theories, and applications in the fields of data mining and database management.

The Advances in Data Mining and Database Management (ADMDM) Book Series(ISSN 2327-1981) is published by IGI Global, 701 E. Chocolate Avenue, Hershey, PA 17033-1240, USA, www.igi-global.com. This series is composed of titlesavailable for purchase individually; each title is edited to be contextually exclusive from any other title within the series. For pricing and ordering information please visit http://www.igi-global.com/book-series/advances-data-mining-database-management/37146. Postmaster: send all address changes to above address. Copyright 2022 IGI Global. All rights, including translation in other languages reserved by the pulisher. No part of this series may be reproduced or used in any form or by any means - graphics, electronic, or mechanical, including photocopying, recoreding, taping, or information and retrieval systems - without written permission from the publisher, except for non commercial, educational use, including classroom teaching purposes. The views expressed in this series are those of the authors, but not necessarily of IGI Global

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