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文章基本信息

  • 标题:Framework for Affective News Analysis of Arabic News: 2014 Gaza Attacks Case Study
  • 本地全文:下载
  • 作者:Mahmoud Al-Ayyoub ; Huda Al-Sarhan ; Majd Al-So'ud
  • 期刊名称:Journal of Universal Computer Science
  • 印刷版ISSN:0948-6968
  • 出版年度:2017
  • 卷号:23
  • 期号:3
  • 页码:327-352
  • 出版社:Graz University of Technology and Know-Center
  • 摘要:This paper aims at fostering the domain of Arabic affective news analysis through providing: (a) a benchmark annotated Arabic dataset of news for affective news analysis, (b) an aspect-based sentiment analysis (ABSA) approach for evaluating the sentimental affect of Arabic news posts on the reader, and (c) a baseline approach with a common evaluation framework to compare future research results with the baseline ones.
  • 关键词:Arabic dataset; affective news; aspect based sentiment analysis; emotional affect; natural language processing
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