Title :
TrendMiner: Large-scale analysis of political attitudes in public facebook messages
Author :
M?rton Mih?ltz;Tam?s V?radi
Author_Institution :
Research Institute for Linguistics, Hungarian Academy of Sciences, Bencz?r utca 33, H-1068, Budapest, Hungary
Abstract :
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.
Keywords :
"Facebook","Natural language processing","Psychology","Standards organizations","Organizations","Nominations and elections","Media"
Conference_Titel :
Cognitive Infocommunications (CogInfoCom), 2015 6th IEEE International Conference on
DOI :
10.1109/CogInfoCom.2015.7390601
