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Jiajun Bu

Dados Biográficos

ID6537073
NOMEJiajun Bu
PRENOMESJiajun
SOBRENOMEBu
ASSINATURABU J
AFILIAÇÕESZhejiang University
ORCID0000-0002-1097-2044
VERIFICADOSim
TOTAL DE OBRAS2
TOTAL DE CITAÇÕES2
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2011
ANO MAIS RECENTE DE PUBLICAÇÃO2017
ÍNDICE H1
  • An optimal sampling method for web accessibility quantitative metric and its online extension

    Open Access•Mengni Zhang, Can Wang et al.•ARTICLE•Internet Research•2017•Referências: 1

    Purpose As existing studies show the accuracy of sampling methods depends heavily on the evaluation metric in web accessibility evaluation, the purpose of this paper is to propose a sampling method OPS-WAQM optimized for Web Accessibility Quantitative Metric (WAQM). Furthermore, to support quick accessibility evaluation or real-time website accessibility monitoring, the authors also provide online extension for the sampling method

  • Opinion Word Expansion and Target Extraction through Double Propagation

    Open Access•Guang Qiu, Bing Liu et al.•ARTICLE•Computational Linguistics•2011•Citada por: 2•Referências: 1

    Analysis of opinions, known as opinion mining or sentiment analysis, has attracted a great deal of attention recently due to many practical applications and challenging research problems. In this article, we study two important problems, namely, opinion lexicon expansion and opinion target extraction. Opinion targets (targets, for short) are entities and their attributes on which opinions have been expressed. To perform the tasks, we found that t…

  • Opinion Word Expansion and Target Extraction through Double Propagation

    Open Access•Guang Qiu, Bing Liu et al.•ARTICLE•Computational Linguistics•2011•Citada por: 2•Referências: 1

    Analysis of opinions, known as opinion mining or sentiment analysis, has attracted a great deal of attention recently due to many practical applications and challenging research problems. In this article, we study two important problems, namely, opinion lexicon expansion and opinion target extraction. Opinion targets (targets, for short) are entities and their attributes on which opinions have been expressed. To perform the tasks, we found that t…

  • Opinion Word Expansion and Target Extraction through Double Propagation

    Open Access•Guang Qiu, Bing Liu et al.•ARTICLE•Computational Linguistics•2011•Citada por: 2•Referências: 1

    Analysis of opinions, known as opinion mining or sentiment analysis, has attracted a great deal of attention recently due to many practical applications and challenging research problems. In this article, we study two important problems, namely, opinion lexicon expansion and opinion target extraction. Opinion targets (targets, for short) are entities and their attributes on which opinions have been expressed. To perform the tasks, we found that t…

  • An optimal sampling method for web accessibility quantitative metric and its online extension

    Open Access•Mengni Zhang, Can Wang et al.•ARTICLE•Internet Research•2017•Referências: 1

    Purpose As existing studies show the accuracy of sampling methods depends heavily on the evaluation metric in web accessibility evaluation, the purpose of this paper is to propose a sampling method OPS-WAQM optimized for Web Accessibility Quantitative Metric (WAQM). Furthermore, to support quick accessibility evaluation or real-time website accessibility monitoring, the authors also provide online extension for the sampling method

Computer Science (2 obras) · Advanced Text Analysis Techniques (1 obras) · Artificial Intelligence (1 obras) · Bootstrapping (finance (1 obras) · Data mining (1 obras) · Dependency (UML (1 obras) · Dependency grammar (1 obras) · Digital Accessibility for Disabilities (1 obras) · Engineering (1 obras) · Extension (predicate logic (1 obras)

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