Abstract—Sentiment analysis has witnessed significant
advancements particularly in a translanguaging paradigm,
emphasizing the entanglement of different languages,
modalities, and cultures. This article provides an overview of
the translanguaging advances in sentiment analysis, covering
techniques, applications, and challenges. The article begins by
briefly introducing the major trends of sentiment analysis,
highlighting its current importance in understanding and
analyzing human emotions and opinions expressed in data. It
then delves into the edge-cutting techniques employed in
sentiment analysis. Afterwards, the emerging application
domains were explored through CiteSpace 5.7.R5. Despite the
achievements made in sentiment analysis, numerous challenges
persist. The last part of this article presents the challenges and
researchers’ attempted solutions, which accentuates the need
for robust techniques to improve the accuracy and reliability of
sentiment analysis.
Index Terms—Sentiment analysis, advances, techniques,
applications, challenges
The authors are with the South China University of Technology,
Guangzhou, China.
*Correspondence: flcyy@scut.edu.cn (Y.C.)
[PDF]
Cite: Yanyan Chen, Li Lin, Zihan Gong, and Wenwen Tan, "A Translanguaging Turn in Sentiment Analysis: Exploring the Role of Language, Culture, and Linguistics in Natural Language Processing," International Journal of Engineering and Technology vol. 15, no. 4, pp. 179-184, 2023.
