Open access peer-reviewed Edited Volume

Social Media and Machine Learning

Edited by Alberto Cano

Virginia Commonwealth University

Social media has transformed society and the way people interact with each other. The volume and speed in which new content is being generated surpasses the processing capacity of machine learning systems. Analyzing such data demands new approaches coming from natural language processing, text mining, sentiment analysis, etc to understand and resolve the arising challenges. There is a need to develop robust and adaptable systems to tackle these open issues in real time, as well as to provide a meaningful summarization and visualization to the end users. This book provides the reader with a comprehensive overview of the latest developments in social media and machine learning, addressing research innovations, applications, trends, and open challenges in this crucial area.

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Social Media and Machine LearningEdited by Alberto Cano

Published: February 19th 2020

DOI: 10.5772/intechopen.78089

ISBN: 978-1-78984-028-5

Print ISBN: 978-1-78984-027-8

eBook (PDF) ISBN: 978-1-83880-616-3

Copyright year: 2020

Books open for chapter submissions

4323 Total Chapter Downloads

11 Crossref Citations

1 Web of Science Citations

18 Dimensions Citations


Open access peer-reviewed

1. Introductory Chapter: Data Streams and Online Learning in Social Media

By Alberto Cano


Open access peer-reviewed

2. Automatic Speech Emotion Recognition Using Machine Learning

By Leila Kerkeni, Youssef Serrestou, Mohamed Mbarki, Kosai Raoof, Mohamed Ali Mahjoub and Catherine Cleder


Open access peer-reviewed

3. A Case Study of Using Big Data Processing in Education: Method of Matching Members by Optimizing Collaborative Learning Environment

By Keiko Tsujioka


Open access peer-reviewed

4. Literature Review on Big Data Analytics Methods

By Iman Raeesi Vanani and Setareh Majidian


Open access peer-reviewed

5. Information and Communication-Based Collaborative Learning and Behavior Modeling Using Machine Learning Algorithm

By Nityashree Nadar and R. Kamatchi


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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