Mining patterns of e-Learner emotion communication in turn level of Chinese interactive texts: Experiments and findings

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

16 Scopus citations

Abstract

There is lack of researches on discovering the emotion communication patterns in turn level. It is believe that can give a new view to build emotion computing model and improve the emotion prediction performance for interactive texts based applications. In this paper, a hierarchical emotion category is given. Then a hierarchical sequential pattern mining method based on SPAM is proposed and used to mining the emotion communication patterns in turn level of Chinese interactive texts. Some interesting sequences are found and discussed.

Original languageEnglish
Title of host publicationProceedings of the 2010 14th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2010
Pages664-670
Number of pages7
DOIs
StatePublished - 2010
Event2010 14th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2010 - Shanghai, China
Duration: 14 Apr 201016 Apr 2010

Publication series

NameProceedings of the 2010 14th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2010

Conference

Conference2010 14th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2010
Country/TerritoryChina
CityShanghai
Period14/04/1016/04/10

Keywords

  • E-learner emotion communication pattern
  • SPAM
  • Sequential pattern mining
  • Turn

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