| Literature DB >> 33693318 |
Frank Emmert-Streib1,2, Olli P Yli-Harja2,3, Matthias Dehmer4,5,6.
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.Entities:
Keywords: big data; computational social science; data analytics; data science; forecasting; prediction model; scientometrics; social media
Year: 2018 PMID: 33693318 PMCID: PMC7931880 DOI: 10.3389/fdata.2018.00002
Source DB: PubMed Journal: Front Big Data ISSN: 2624-909X