Fine-grained emoji sentiment analysis based on attributes of Twitter users

Xiaoyu Sun, Huakang Li, Guozi Sun, Ming Zhu

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

Emoji is a visual character that is popular on social media today, with rich semantic and emotional information. At present, each kind of emoji is usually treated as the same in sentiment analysis, but we think that different people using the same emoji will express different emotions. We collected tweets containing different emojis to calculate the emotion intensity scores of different emojis under different emotions, and combined the scores with different attributes of Twitter users to prove our point. Furthermore, we also provide analysis of experimental results and suggestions for future improvements.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Smart Cloud, SmartCloud 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages134-139
Number of pages6
ISBN (Electronic)9781728165479
DOIs
Publication statusPublished - Nov 2020
Event5th IEEE International Conference on Smart Cloud, SmartCloud 2020 - Washington, United States
Duration: 6 Nov 20208 Nov 2020

Publication series

NameProceedings - 2020 IEEE International Conference on Smart Cloud, SmartCloud 2020

Conference

Conference5th IEEE International Conference on Smart Cloud, SmartCloud 2020
Country/TerritoryUnited States
CityWashington
Period6/11/208/11/20

Keywords

  • Twitter
  • emoji
  • sentiment analysis

Fingerprint

Dive into the research topics of 'Fine-grained emoji sentiment analysis based on attributes of Twitter users'. Together they form a unique fingerprint.

Cite this