DocumentCode :
3652050
Title :
Target-oriented opinion mining from tweets
Author :
Viktor Hangya;Richard Farkas
Author_Institution :
Dept. of Inf., Univ. of Szeged, Szeged, Hungary
fYear :
2013
Firstpage :
251
Lastpage :
254
Abstract :
People express their opinion about many things like products, political parties, ideas using the facilities of social media. The analysis of these opinions is a gold mine for marketing experts and for humanities research as well. We introduce a system for opinion mining from the textual content of tweets and discuss the differences between tweet-level and target-oriented opinion mining.
Keywords :
"Accuracy","Databases","Terminology","Conferences","Media","Sensitivity","Educational institutions"
Publisher :
ieee
Conference_Titel :
Cognitive Infocommunications (CogInfoCom), 2013 IEEE 4th International Conference on
Print_ISBN :
978-1-4799-1543-9
Type :
conf
DOI :
10.1109/CogInfoCom.2013.6719251
Filename :
6719251
Link To Document :
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