Predictive Analysis on Twitter: Techniques and Applications
Document Type
Book Chapter
Publication Date
2018
Abstract
Predictive analysis of social media data has attracted considerable attention from the research community as well as the business world because of the essential and actionable information it can provide. Over the years, extensive experimentation and analysis for insights have been carried out using Twitter data in various domains such as healthcare, public health, politics, social sciences, and demographics. In this chapter, we discuss techniques, approaches, and state-of-the-art applications of predictive analysis of Twitter data. Specifically, we present fine-grained analysis involving aspects such as sentiment, emotion, and the use of domain knowledge in the coarse-grained analysis of Twitter data for making decisions and taking actions, and relate a few success stories.
Repository Citation
Kursuncu, U.,
Gaur, M.,
Lokala, U.,
Thirunarayan, K.,
Sheth, A.,
& Arpinar, B.
(2018). Predictive Analysis on Twitter: Techniques and Applications. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining, 67-104.
https://corescholar.libraries.wright.edu/knoesis/1172
DOI
10.1007/978-3-319-94105-9
