Correlations and fluctuations in the word sets of collective emotions

• Sano Yukie

  Faculty of Engineering, Information and Systems, University of Tsukuba

Abstract

In recent times, research on extracting collective emotion from social media has been actively pursued. When constructing collective emotions from social media, a bag-of-words, which is made of an aggregation of related words' frequencies, is often used. However, correlations between targeted words, as well as fluctuations under the word aggregation process, have attracted little attention. In this research, we examine the correlations and fluctuations of words contained within the collective emotion in Japanese blogs. From our result, we found that correlations between words belonging to the same emotion tend to be higher than correlations between different emotions, and the fluctuation is reduced by the aggregation process. We believe that our conclusion is applicable not only to the frequency of occurrence of words but also to systems consisting of small components in various contexts.

Journal

• Nonlinear Theory and Its Applications, IEICE

  Nonlinear Theory and Its Applications, IEICE 9 (3), 382-390, 2018

  The Institute of Electronics, Information and Communication Engineers

Keywords

• correlation
• fluctuation
• social media
• text analysis

Details

• CRID: 1390845712970091392
• NII Article ID: 130007387338
• DOI: 10.1587/nolta.9.382
• ISSN: 21854106
• HANDLE: 2241/00154650
• Web Site: https://tsukuba.repo.nii.ac.jp/records/49175
• Web Site: https://www.jstage.jst.go.jp/article/nolta/9/3/9_382/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • IRDB
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed