Research on Public Opinion on Twitter of 2022 Beijing Winter Olympics

Sentiment Analysis based on Support Vector Machine

DOI

10.2991/aebmr.k.220405.299How to use a DOI?

Keywords

Beijing 2022 Winter Olympic Games; Sentiment Analysis; SVM

Abstract

Beijing 2022 Olympic Winter Games are important landmark events in China, and their hosting is of great significance. This study uses Python data mining, Support Vector Machine algorithm, and #LancsBox to analyze the sentimental tendency of comments under related topics on Twitter and summarize netizens’ opinions. The results show that Twitter users hold more negative sentiments about the Beijing Winter Olympics. By calculating the mutual information value, it is found that negative sentiment words are paired with high-frequency words more by chance.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license.

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TY  - CONF
AU  - Haotian Hou
PY  - 2022
DA  - 2022/04/29
TI  - Research on Public Opinion on Twitter of 2022 Beijing Winter Olympics
BT  - Proceedings of the 2022 7th International Conference on Social Sciences and Economic Development (ICSSED 2022)
PB  - Atlantis Press
SP  - 1785
EP  - 1790
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220405.299
DO  - 10.2991/aebmr.k.220405.299
ID  - Hou2022
ER  -