Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)

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Analysis of Emoticon based on BERT model

Authors
Pengfei Dai1, Chenhao Kong2, Boxiang Zeng3, *
1The School of Computer Science, South-Central Minzu University, Wuhan City, Hubei Province, China
2The School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou, Zhejiang, China
3School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai, China
*Corresponding author. Email: 211042y324@mail.sit.edu.cn
Corresponding Author
Boxiang Zeng
Available Online 16 October 2024.
DOI
10.2991/978-94-6463-540-9_70How to use a DOI?
Keywords
Emotion analysis; Natural Language Processing; BERT
Abstract

With the widespread adoption of digital communication platforms, emojis have become an integral part of conveying subtle emotions and expressions within written content. This paper delves into the application of BERT and its foundational Transformer technology in processing texts enriched with emojis, underlining their indispensable role in contemporary communication. This paper aims to showcase the enhanced capabilities of AI in gratifying the subtleties of emoji-inclusive text, thereby broadening the horizon of text analysis within the sphere of computer science. In this paper, Bert analyzes and classifies the long and short sentences containing emojis, hoping to infer the corresponding emotional relationship between emojis and sentences and let the computer learn to infer the meaning of different emojis from symbols. At present, the results show that the effect of text sentiment analysis based on BERT model is relatively average, the accuracy does not reach the expected standard, and it can only accurately identify the emotion tendency in the text.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)
Series
Advances in Computer Science Research
Publication Date
16 October 2024
ISBN
978-94-6463-540-9
ISSN
2352-538X
DOI
10.2991/978-94-6463-540-9_70How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Pengfei Dai
AU  - Chenhao Kong
AU  - Boxiang Zeng
PY  - 2024
DA  - 2024/10/16
TI  - Analysis of Emoticon based on BERT model
BT  - Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)
PB  - Atlantis Press
SP  - 685
EP  - 692
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-540-9_70
DO  - 10.2991/978-94-6463-540-9_70
ID  - Dai2024
ER  -