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Xiao-Ling Cui

Dados Biográficos

ID10637002
NOMEXiao-Ling Cui
PRENOMESXiao-Ling
SOBRENOMECui
ASSINATURACUI X
AFILIAÇÕESBeijing University of Posts and Telecommunications, Beijing
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2014
ANO MAIS RECENTE DE PUBLICAÇÃO2014
ÍNDICE H0
  • A corpus-based study on Chinese sentiment parameters of Chinese sentiment discourse

    Xiao-Ling Cui, Cui Xiao-ling et al.•ARTICLE•Chinese Language and Discourse An…•2014

    Most previous work on sentiment identification and annotation has focused on the identification and annotation of attitudes and targets, while less work has been done on other sentiment parameters. In this paper, we aim to discover different lexical, syntactic and semantic features of Chinese sentiment parameters based on Appraisal Theory. The data are from an annotated corpus of Chinese commentaries, analyzed using both qualitative and quantitat…

Sem obras proeminentes nesta página.

  • A corpus-based study on Chinese sentiment parameters of Chinese sentiment discourse

    Xiao-Ling Cui, Cui Xiao-ling et al.•ARTICLE•Chinese Language and Discourse An…•2014

    Most previous work on sentiment identification and annotation has focused on the identification and annotation of attitudes and targets, while less work has been done on other sentiment parameters. In this paper, we aim to discover different lexical, syntactic and semantic features of Chinese sentiment parameters based on Appraisal Theory. The data are from an annotated corpus of Chinese commentaries, analyzed using both qualitative and quantitat…

Advanced Text Analysis Techniques (1 obra) · Annotation (1 obra) · Artificial Intelligence (1 obra) · Automatic summarization (1 obra) · Computer Science (1 obra) · Field (mathematics) (1 obra) · Identification (biology) (1 obra) · Natural language processing (1 obra) · Part of speech (1 obra) · Process (computing) (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae