"Social Media and Machine Learning" ed. by Alberto Cano

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.

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.

Contents
1.Introductory Chapter: Data Streams and Online Learning in Social Media
2.Automatic Speech Emotion Recognition Using Machine Learning
3.A Case Study of Using Big Data Processing in Education: Method of Matching Members by Optimizing Collaborative Learning Environment
4.Literature Review on Big Data Analytics Methods
5.Information and Communication-Based Collaborative Learning and Behavior Modeling Using Machine Learning Algorithm