Word-level neutrosophic sentiment similarity
作者: Florentin SmarandacheMihaela ColhonŞtefan VlăduţescuXenia Negrea
作者单位: 1Department of Mathematics, University of New Mexico, USA
2Department of Computer Science, University of Craiova, Romania
3Faculty of Letters, University of Craiova, Romania
刊名: Applied Soft Computing Journal, 2019, Vol.80 , pp.167-176
来源数据库: Elsevier Journal
DOI: 10.1016/j.asoc.2019.03.034
关键词: Word-level similarityNeutrosophic setsSentiwordnetSentiment relatedness
原始语种摘要: Abstract(#br)In the specializedliterature, there are many approaches developed for capturing textual measures: textual similarity, textual readability and textual sentiment. This paper proposes a new sentiment similarity measures between pairs of words using a fuzzy-based approach in which words are considered single-valued neutrosophic sets . We build our study with the aid of the lexical resource SentiWordNet 3.0 as our intended scope is to design a new word-level similarity measure calculated by means of the sentiment scores of the involved words. Our study pays attention to the polysemous words because these words are a real challenge for any application that processes natural language data. After our knowledge, this approach is quite new in the literature and the obtained results...
全文获取路径: Elsevier  (合作)
影响因子:2.14 (2012)

  • sentiment 感情
  • similarity 相似性
  • level 水准
  • approach 
  • words 文字
  • textual 原文的
  • capturing 捕捉
  • fuzzy 模糊的
  • relatedness 关联性
  • natural 自然的