DocumentCode
3728414
Title
Emoticon Extraction Method Based on Eye Characters and Symmetric String
Author
Takeru Yokoi;Mizuki Kobayashi;Roliana Ibrahim
Author_Institution
Tokyo Metropolitan Coll. of Ind. Technol., Tokyo, Japan
fYear
2015
Firstpage
2979
Lastpage
2984
Abstract
Emoticon is often used in short messages to shortly describe actions, feelings and so on. That can also represent sentimental intention such that it´s difficult to describe by only language. Recently the sentiment analysis has been focused in cases of election, economic market and so on. Consideration of emoticon is also useful in such cases and in the first place, emoticon extraction from text is the important step to analysis them. However, to extract the emoticon correctly is difficult since recent emoticon uses Unicode characters as compared to former emoticons characters. Therefore, we have proposed a novel approach to extract emoticon focusing on characters describing eyes and the symmetry of emoticon´s string.
Keywords
"Face","Transforms","Focusing","Feature extraction","Sentiment analysis","Pragmatics","Visualization"
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on
Type
conf
DOI
10.1109/SMC.2015.518
Filename
7379650
Link To Document