Review of Comment Sentiment Analysis Based on Emoticons

DOI

10.2991/assehr.k.220110.109How to use a DOI?

Keywords

comment; sentiment analysis; text; emoticons; social media

Abstract

Nowadays, social media is becoming more mature, and its comment data form is becoming more diversified. Emoticons are already an element that cannot be ignored in comment sentiment analysis. This article reviews the research of simple text sentiment analysis, emoticons sentiment analysis and text sentiment analysis incorporating emoticons, finding that simple text sentiment analysis is divided in two types: sentiment analysis based on sentiment dictionary method and based on machine learning method; emoticons sentiment analysis can be divided into traditional analysis methods, expression based on middle-level semantics of pictures and deep learning technology. Text sentiment analysis incorporating emoticons is establishing models to calculate scores separately and then getting the emotions, and combining the emoticons as features with text to do the sentiment analysis.

Copyright

© 2022 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Hongyu Qian
PY  - 2022
DA  - 2022/01/28
TI  - Review of Comment Sentiment Analysis Based on Emoticons
BT  - Proceedings of the 2021 International Conference on Public Art and Human Development ( ICPAHD 2021)
PB  - Atlantis Press
SP  - 570
EP  - 573
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220110.109
DO  - 10.2991/assehr.k.220110.109
ID  - Qian2022
ER  -