Trusting politicians' words (for persuasive NLP)

被引:0
|
作者
Guerini, Marco [1 ]
Strapparava, Carlo [1 ]
Stock, Oliviero [1 ]
机构
[1] IRST, FBK, I-38050 Trento, Italy
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents resources and lexical strategies for persuasive natural language processing. After the introduction of a specifically tagged corpus of political speeches, some forms of affective language processing in persuasive communication and prospects for application scenarios are provided. In particular Valentino, a prototype for valence shifting of existing texts, is described.
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页码:263 / 274
页数:12
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