TrendMiner: Large-Scale Analysis of Political Attitudes in Public Facebook Messages

被引：0
|
作者：
Mihaltz, Marton [1 ]
Varadi, Tamas [1 ]
机构：
[1] Hungarian Acad Sci, Res Inst Linguist, Benczur Utca 33, H-1068 Budapest, Hungary
来源：
2015 6TH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFOCOMMUNICATIONS (COGINFOCOM) | 2015年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents the methods and results of a project that collects and analyses public comments written in response to political posts on Facebook using natural language processing and social psychological methods in order to explore emotional attitudes and social behavior.
引用
收藏
页码：265 / 265
页数：1
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