Social Media Data Extraction and Content Analysis

✍ Scribed by Shalin Hai-Jew

• Publisher: IGI Global
• Year: 2016
• Tongue: English
• Leaves: 478
• Series: Advances in Data Mining and Database Management
• Edition: 1
• Category: Library

✦ Synopsis

In todays society, the utilization of social media platforms has become an abundant forum for individuals to post, share, tag, and, in some cases, overshare information about their daily lives. As significant amounts of data flood these venues, it has become necessary to find ways to collect and evaluate this information.

Social Media Data Extraction and Content Analysis explores various social networking platforms and the technologies being utilized to gather and analyze information being posted to these venues. Highlighting emergent research, analytical techniques, and best practices in data extraction in global electronic culture, this publication is an essential reference source for researchers, academics, and professionals.

✦ Table of Contents

Title Page
Copyright Page
Book Series
Dedication
Editorial Advisory Board
Table of Contents
Detailed Table of Contents
Foreword
Foreword
Preface
Acknowledgment
Section 1: Modeling with Social Data
Chapter 1: Devising Parametric User Models for Processing and Analysing Social Media Data to Influence User Behaviour
Chapter 2: Mining the Edublogosphere to Enhance Teacher Professional Development
Chapter 3: Weak Ties and Value of a Network in the New Internet Economy
Chapter 4: Usability Evaluation of Social Media Web Sites and Applications via Eye-Tracking Method
Section 2: Analytics from the Online Crowd
Chapter 5: A Route Recommender System Based on Current and Historical Crowdsourcing
Chapter 6: Customer Complaints in Social Networks in the Spanish Telecommunication Industry
Chapter 7: Applied Analytical “Distant Reading” using NVivo 11 Plus™
Chapter 8: Conducting Sentiment Analysis and Post-Sentiment Data Exploration through Automated Means
Section 3: Tapping Specific Social Media Platforms
Chapter 9: Exploring “User,” “Video,” and (Pseudo) Multi-Mode Networks on YouTube with NodeXL
Chapter 11: Creating “(Social) Network Art” with NodeXL
Section 4: Applied Uses of Social Media Data for Awareness and Problem-Solving
Chapter 12: Social Network Synthesis
Chapter 13: Facebook Content Analysis
Chapter 14: Code Reuse
Compilation of References
About the Contributors
Index