Data analytics applications for streaming data from social media: What to predict?

Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer

Research output: Contribution to journalReview articlepeer-review

5 Citations (Scopus)

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 languageEnglish
Article number2
Number of pages7
JournalFrontiers in Big Data-Data Mining and Management
Volume1
DOIs
Publication statusPublished - 11 Sep 2018

Keywords

  • big data
  • computational social science
  • data analytics
  • data science
  • forecasting
  • prediction model
  • scientometrics
  • social media

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