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文章基本信息

  • 标题:A Rule Based System to Identify Negative Sentences from Text Documents
  • 本地全文:下载
  • 作者:Amarjeet Kaur ; M. Sasikumar
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2018
  • 卷号:7
  • 期号:1
  • 页码:34-38
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:the paper analyzes how the negative morphemescan change the semantic meaning of a phrase/sentence and theways to identify it. In many cases, negation in a sentence/phrasesignifies the presence of negative morphemes (grammaticalmorphemes which can be free or bound) in a sentence. Theproposed approach is to check the suffix or prefix of phrase,antonym-of and presence of negative particle in thegrammatically correct sentences. The proposed technique isdivided into three tasks: first, to apply POS (parts-of-speech)tagging technique in the grammatically correct text documentsand second, to identify negative morphemes in a sentence, andthird, to count the frequency of negative morphemes.
  • 关键词:linguistic unit; negative morphemes; POS;tagging; rule based system; semantic meaning
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