Literature DB >> 33693318

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

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.
Copyright © 2018 Emmert-Streib, Yli-Harja and Dehmer.

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


  1 in total

1.  Data-Driven Computational Social Network Science: Predictive and Inferential Models for Web-Enabled Scientific Discoveries.

Authors:  Frank Emmert-Streib; Matthias Dehmer
Journal:  Front Big Data       Date:  2021-04-22
  1 in total

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