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  • 标题:Emotional Load Identification in the Political Discourse
  • 本地全文:下载
  • 作者:Daniela GÎFU
  • 期刊名称:Annals of Philosophy, Social and Human Disciplines
  • 印刷版ISSN:2069-4008
  • 电子版ISSN:2069-4016
  • 出版年度:2011
  • 卷号:1
  • 页码:65-80
  • 语种:English
  • 出版社:Universitatea "Stefan cel Mare" Suceava
  • 摘要:It is known that the political discourse “attack” on the two plans: of conviction (rational dimension) and of persuasion (emotional dimension),we proposed to analyse from lexical-semantic level all those discursive means that speaker’s political succeed to change attitudes,opinions,feelings and political beliefs by his auditor.In this paper we identify the author’s vocabulary which betrays his sensibility,more or less dramatic.By emphasizing the emotional component at the level of discourse,voters identify with the speaker,who becomes the personification of their common ideals.The idea is that the vocabulary betrays the speaker’s level of drama and characterizes the speaker’s orientation.When the object of study is the political discourse,especially in electoral context,an investigation on this dimension could give points to features influencing the voting public.In this sense,we describe a platform (Discourse Analysis Tool – DAT) which integrates a range of language processing tools with the intent to build complex characterisations of the political discourse.An important political language processing problem is the text categorization.One of the important steps in our research was the classification task of the political emotional lexicon.The method is intended to help political speakers to improve their discourse abilities,by comparing their speeches,and the public at large by evidencing hidden aspects of the emotional-linguistic abilities of their candidates.The platform integrates a library of statistical functions allowing comparisons on the same set of features of discourses produced by different speakers.
  • 关键词:political discourse;natural language processing;elections;semantic analysis;presidential;journalist.
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