Temporal trend analysis on virtual reality using social media mining

Chen wen Shen, Jung tsung Ho, Hung wen Ma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Many studies have discussed the widespread use of virtual reality (VR). However, few studies have investigated VR from the perspective of social media, even though social media has changed how people communicate and emerged as an essential marketing channel. An approach of two-layer hierarchical concept decomposition structure was proposed to investigate the temporal trend of VR development from the perspective of the public. Accordingly, Twitter posts related to VR in 2015 and 2016 were crawled and analyzed by our proposed approach. The mining results determined that public focus shifted from VR headsets in 2015 to content in 2016. This suggests that VR devices are perceived as having gradually developed and that the next challenge and business opportunity is VR content and applications. In the era of big data and artificial intelligence, our concept decomposition approach contributes to the content analysis of acquiring insight from massive user-generated content, which extracts temporal trends in a holistic view and individual insights on a detailed scale.

Original languageEnglish
Title of host publicationResearch and Innovation Forum 2019 - Technology, Innovation, Education, and their Social Impact
EditorsAnna Visvizi, Miltiadis D. Lytras
PublisherSpringer
Pages189-198
Number of pages10
ISBN (Print)9783030308087
DOIs
StatePublished - 2019
EventResearch and Innovation Forum, Rii Forum 2019 - Rome, Italy
Duration: 24 Apr 201926 Apr 2019

Publication series

NameSpringer Proceedings in Complexity
ISSN (Print)2213-8684
ISSN (Electronic)2213-8692

Conference

ConferenceResearch and Innovation Forum, Rii Forum 2019
Country/TerritoryItaly
CityRome
Period24/04/1926/04/19

Keywords

  • Concept link
  • Social media
  • Text mining
  • Twitter
  • Virtual reality

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