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Research progress on network public opinion based on rough sets from the big data perspective

Jianguo Tang,Jianghua Wang,Chunling Wu

Published 2019 in IEEE Joint International Information Technology and Artificial Intelligence Conference

ABSTRACT

In the era of big data, the features of online public opinion give some serious challenges for existing data analysis methods and it’s necessary to find new ways to deal with these challenges. Granular computing can simulate human thinking mode to think about and solve large-scale and complex problems. This pattern provides an effective tool for meeting the challenges in online public opinion. This paper focus on rough sets to give a review on granular computing based online public opinion. Some existing problems are analyzed and the future research direction of this filed are looked ahead.

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    IEEE Joint International Information Technology and Artificial Intelligence Conference

  • Publication date

    2019-05-01

  • Fields of study

    Computer Science, Political Science

  • Identifiers
    DOI 10.1109/ITAIC.2019.8785871
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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CONCEPTS

  • No concepts are published for this paper.

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