Data Analytics Applications for Streaming Data From Social Media: What to Predict?

Frank Emmert-Streib; Olli P Yli-Harja; Matthias Dehmer

doi:10.3389/fdata.2018.00002

Data Analytics Applications for Streaming Data From Social Media: What to Predict?

Front Big Data. 2018 Sep 11:1:2. doi: 10.3389/fdata.2018.00002. eCollection 2018.

Authors

Frank Emmert-Streib^{1

2}, Olli P Yli-Harja^{2

3}, Matthias Dehmer^{4

5

6}

Affiliations

¹ Predictive Medicine and Data Analytics Lab, Department of Signal Processing, Tampere University of Technology, Tampere, Finland.
² Institute of Biosciences and Medical Technology, Tampere, Finland.
³ Institute for Systems Biology, Seattle, WA, United States.
⁴ Department for Biomedical Computer Science and Mechatronics, UMIT - The Health and Lifesciences University, Hall in Tyrol, Austria.
⁵ Faculty for Management, Institute for Intelligent Production, University of Applied Sciences Upper Austria, Steyr, Austria.
⁶ College of Computer and Control Engineering, Nankai University, Tianjin, China.

Abstract

Social media in general provide great opportunities for mining massive amounts of text, image, and video-based data. However, what questions can be addressed from analyzing such data? In this review, we are focusing on microblogging services and discuss applications of streaming data from the scientific literature. We will focus on text-based approaches because they represent by far the largest cohort of studies and we present a taxonomy of studied problems.

Keywords: big data; computational social science; data analytics; data science; forecasting; prediction model; scientometrics; social media.

Publication types

Review