Aspect-Level Sentiment Analysis Review: Recent Advances and Trends

Aspect-level text sentiment analysis is a fine-grained approach aimed at delving deep into the emotional content embedded within text, providing a more comprehensive understanding of users' attitudes and opinions towards various aspects of entities. This paper establishes a solid foundation for research by conducting a comprehensive study of sentiment analysis-related literature from the past 15 years, with searches conducted in both the CNKI and Web of Science core databases. The paper introduces multiple levels of text sentiment analysis and their research methodologies. Regarding aspect-level text sentiment analysis, we conduct an in-depth analysis from various perspectives, summarizing widely used methods and models, as well as applicable contextual scenarios. Finally, this paper discusses the challenges faced by aspect-level text sentiment analysis and offers insights into its future development trends.