Recognition Method for Emoticons Based on Network Text

DOI

10.2991/isaeece-16.2016.57How to use a DOI?

Keywords

Emoticon; Recognition method; Conditional entropy; Mutual Information; Network text; UTF-8 code

Abstract

Emoticons are widely used in the network text, which has enhanced effect for the author's emotional experience and semantic representation. Effective identification of the emoticons in the network text has great significance to sentiment analysis, public opinion survey and commercial investigation. Through analyzing the information about a number of emoticons on the Internet and based on the UTF-8 coding, new method of recognition emoticons is presented. First of all, the emoticons are differentiated and analyzed by using the statistical method, and then, the method describes the process by the steps of conditional information entropy are defined, computing mutual information and filter the candidates with using written rules. Finally, experimental results prove that the recognition algorithm has correctness, precise and practicality.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yiming Lei
AU  - Yong Liu
AU  - Hua Huo
PY  - 2016/04
DA  - 2016/04
TI  - Recognition Method for Emoticons Based on Network Text
BT  - Proceedings of the 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 299
EP  - 303
SN  - 2352-5401
UR  - https://doi.org/10.2991/isaeece-16.2016.57
DO  - 10.2991/isaeece-16.2016.57
ID  - Lei2016/04
ER  -