Twitter Data Analytics

• Main Authors: Kumar, Shamanth (Author), Morstatter, Fred (Author), Liu, Huan (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2014.
• Series: SpringerBriefs in Computer Science,
• Subjects: Computer science.; Database management.; Data mining.; Multimedia information systems.; User interfaces (Computer systems).; Artificial intelligence.; Computer Science.; Data Mining and Knowledge Discovery.; Multimedia Information Systems.; User Interfaces and Human Computer Interaction.; Artificial Intelligence (incl. Robotics).; Database Management.

This brief provides methods for harnessing Twitter data to discover solutions to complex inquiries. The brief introduces the process of collecting data through Twitter’s APIs and offers strategies for curating large datasets. The text gives examples of Twitter data with real-world examples, the pres...

Table of Contents:

• Introduction
• Crawling Twitter Data
• Storing Twitter Data
• Analyzing Twitter Data
• Visualizing Twitter Data.