A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges
By Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam. IEEE Transactions on Knowledge and Data Engineering, 2022
425 citations recorded by the source corpus.
As an important fine-grained sentiment analysis problem, aspect-based sentiment analysis (ABSA), aiming to analyze and understand people's opinions at the aspect level, has been attracting considerable interest in the last decade. To handle ABSA in different scenarios, various tasks are introduced for analyzing different sentiment elements and their relations, including the aspect term, aspect category, opinion term, and sentiment polarity. Unlike early ABSA works focusing on a single sentiment element, many compound ABSA tasks involving multiple elements have been studied in recent years for capturing more complete aspect-level sentiment information. However, a systematic review of various ABSA tasks and their corresponding solutions is still lacking, which we aim to fill in this survey. More specifically, we provide a new taxonomy for ABSA which organizes existing studies from the axes of concerned sentiment elements, with an emphasis on recent advances of compound ABSA tasks. From the perspective of solutions, we summarize the utilization of pre-trained language models for ABSA, which improved the performance of ABSA to a new stage. Besides, techniques for building more practical ABSA systems in cross-domain/lingual scenarios are discussed. Finally, we review some emerging topics and discuss some open challenges to outlook potential future directions of ABSA.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/ccbc0b08858c1874e1500111774cf268a5f6d7a2
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In Artificial Intelligence
- Wenxuan Zhang
- Lidong Bing
- Sinno Jialin Pan
- Yue Deng
- Bing-Quan Liu
- Qiang Yang
- Mingsheng Long
- Jianmin Wang
Citations in the corpus
- Sentiment Analysis in the Era of Large Language Models: A Reality Check (2023, background): “, 2013) to aspect-based sentiment analysis (ABSA, analyzing sentiment and opinion information in a more fine-grained aspect-level manner) (Zhang et al., 2022) and the multifaceted analysis”