Proceedings of the 2024 5th International Conference on Modern Education and Information Management (ICMEIM 2024)

<Previous Article In Volume
Next Article In Volume>

Trends in Affective Computing and Language Processing: A CiteSpace-Enabled Mapping of Scholarly Landscapes

Authors
Peng Huang1, Jieyu Lin2, Yichia Lin2, *, Jaja Li1
1School of Entrepreneurship Management, Sanming University, No. 25, Jindong Road, Sanming City, Fujian Province, China
2School of Foreign Language, Sanming University, No. 25, Jindong Road, Sanming City, Fujian Province, China
*Corresponding author. Email: Justin.p.huang@outlook.com Email: jieyulin966@gmail.com Email: zaaakimo@yeah.net Email: 1184968215@qq.com
Corresponding Author
Yichia Lin
Available Online 27 November 2024.
DOI
10.2991/978-94-6463-568-3_41How to use a DOI?
Keywords
Emotion Detection; Language Processing; CiteSpace; Bilingual Education; Emotion Recognition
Abstract

Sophisticated bibliometric methodologies, particularly CiteSpace, are utilized in this research to analyze the landscape of language processing and communication. The analysis focuses on the growing fields of natural language understanding and affective computing, revealing an increased academic interest in ‘deep learning,’ ‘emotion detection,’ and ‘machine learning.’ This trend indicates a shift towards artificial intelligence in language education that is emotionally intelligent. The investigation, covering literature from 2012 to 2024, shows a clear trend of diversification and specialization, highlighting the integration of affective computing with linguistics. The study concludes by emphasizing the importance of bilingual education for developing globally competent individuals and encourages further interdisciplinary research to enhance emotional depth in human-computer interactions.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2024 5th International Conference on Modern Education and Information Management (ICMEIM 2024)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 November 2024
ISBN
978-94-6463-568-3
ISSN
2667-128X
DOI
10.2991/978-94-6463-568-3_41How 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  - Peng Huang
AU  - Jieyu Lin
AU  - Yichia Lin
AU  - Jaja Li
PY  - 2024
DA  - 2024/11/27
TI  - Trends in Affective Computing and Language Processing: A CiteSpace-Enabled Mapping of Scholarly Landscapes
BT  - Proceedings of the 2024 5th International Conference on Modern Education and Information Management (ICMEIM 2024)
PB  - Atlantis Press
SP  - 334
EP  - 340
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-568-3_41
DO  - 10.2991/978-94-6463-568-3_41
ID  - Huang2024
ER  -