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Aspect-based sentiment classification (ABSC) allows for the automatic extraction of highly fine-grained sentiment information from text documents or sentences. In this survey, the rapidly evolving state of the research on ABSC is reviewed. A novel taxonomy is proposed that categorizes the ABSC models into three major categories: knowledge-based, machine learning, and hybrid models. This taxonomy is accompanied with summarizing overviews of the reported model performances, and both technical and intuitive explanations of the various ABSC models. State-of-the-art ABSC models are discussed, such as models based on the transformer model, and hybrid deep learning models that incorporate knowledge bases. Additionally, various techniques for representing the model inputs and evaluating the model outputs are reviewed. Furthermore, trends in the research on ABSC are identified and a discussion is provided on the ways in which the field of ABSC can be advanced in the future.<\/jats:p>","DOI":"10.1145\/3503044","type":"journal-article","created":{"date-parts":[[2021,12,22]],"date-time":"2021-12-22T16:49:34Z","timestamp":1640191774000},"page":"1-37","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":148,"title":["A Survey on Aspect-Based Sentiment Classification"],"prefix":"10.1145","volume":"55","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6550-6588","authenticated-orcid":false,"given":"Gianni","family":"Brauwers","sequence":"first","affiliation":[{"name":"Erasmus University Rotterdam, Rotterdam, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8031-758X","authenticated-orcid":false,"given":"Flavius","family":"Frasincar","sequence":"additional","affiliation":[{"name":"Erasmus University Rotterdam, Rotterdam, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,11,21]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2013.03.001"},{"key":"e_1_3_1_3_2","first-page":"246","volume-title":"Proceedings of the 17th International Conference on Computational Linguistics and Intelligent Text Processing.","author":"Akhtar Md Shad","year":"2016","unstructured":"Md Shad Akhtar, Asif Ekbal, and Pushpak Bhattacharyya. 2016. 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