A Systematic Review of Aspect-based Sentiment Analysis: Domains, Methods, and Trends

Understand

Aspect-based sentiment analysis (ABSA) is a fine-grained type of sentiment analysis that identifies aspects and their associated opinions from a given text.

• With the surge of digital opinionated text data, ABSA gained increasing popularity for its ability to mine more detailed and targeted insights.
• Many review papers on ABSA subtasks and solution methodologies exist, however, few focus on trends over time or systemic issues relating to research application domains, datasets, and solution approaches.
• To fill the gap, this paper presents a systematic literature review (SLR) of ABSA studies with a focus on trends and high-level relationships among these fundamental components.