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.
| Original language | English |
|---|---|
| Article number | 2 |
| Number of pages | 7 |
| Journal | Frontiers in Big Data-Data Mining and Management |
| Volume | 1 |
| DOIs | |
| Publication status | Published - 11 Sept 2018 |
Keywords
- big data
- computational social science
- data analytics
- data science
- forecasting
- prediction model
- scientometrics
- social media