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  • 标题:Identification of Opinions in Arabic Texts Using Ontologies
  • 本地全文:下载
  • 作者:Farek Lazhar ; Tlili Guiassa Yamina
  • 期刊名称:Information Technology & Software Engineering
  • 电子版ISSN:2165-7866
  • 出版年度:2012
  • 卷号:2
  • 期号:2
  • 页码:e108-e108
  • DOI:10.4172/2165-7866.1000108
  • 出版社:OMICS Group
  • 摘要:A powerful tool to track opinions in forums, blogs, e-business sites, etc., has become essential for companies, politicians as well as for customers, and that because of the huge amount of texts available which make the manualexploration more and more difficult and useless. In this paper, we present our approach of identification of opinions based on an ontological exploration of texts. This approach aims to study the role of domain ontologies and their contributions in the identification phase. In our approach, domain ontology and sentiments lexicon are needed as pre-requirements.
  • 关键词:Identification; Opinion mining; Sentiment; Arabic;Ontologies; Texts; Subjectivity; Classification
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