Emoticon extraction method based on eye characters and symmetric string

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.