Verbal and Non-verbal Markers for the Analysis of Political Discourse

被引：0
|
作者：
Pelosi, Serena [1 ]
Trotta, Daniela [1 ]
Maisto, Alessandro [1 ]
机构：
[1] Univ Salerno, Fisciano, Italy
来源：
2019 SIXTH INTERNATIONAL CONFERENCE ON SOCIAL NETWORKS ANALYSIS, MANAGEMENT AND SECURITY (SNAMS) | 2019年
关键词：
Political Speeches; annotated corpus; Finite State Automata; Electronic Dictionaries;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper describes a linguistic analysis performed over a corpus of Italian political speeches annotated through non-verbal tags. With the purpose to locate lexical features correlated with non-verbal phenomena, we exploited a set of electronic dictionaries of simple and compounds words and a network of Local Grammars. A Distributional Analysis of the texts has, then, been carried out in order to automatically explore the corpus.
引用
收藏
页码：435 / 440
页数：6
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