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Aspect Category Detection, a sub-task of Aspect-based Sentiment Analysis, categorizes the reviews based on the features of a product such as a laptop\u2019s display or an aspect of an entity such as the restaurant\u2019s ambiance. Various methods have been proposed to deal with such a problem. In this article, we first introduce several datasets in the community that deal with this task and take a closer look at them by providing some exploratory analysis. Then, we review a number of representative methods for aspect category detection and classify them into two main groups: (1) supervised learning and (2) unsupervised learning. Next, we discuss the strengths and weaknesses of different kinds of methods, which are expected to benefit both practical applications and future research. Finally, we discuss the challenges, open problems, and future research directions.<\/jats:p>","DOI":"10.1145\/3544557","type":"journal-article","created":{"date-parts":[[2022,6,22]],"date-time":"2022-06-22T13:26:06Z","timestamp":1655904366000},"page":"1-37","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":23,"title":["Survey on Aspect Category Detection"],"prefix":"10.1145","volume":"55","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6206-0760","authenticated-orcid":false,"given":"Siva Uday Sampreeth","family":"Chebolu","sequence":"first","affiliation":[{"name":"University of Houston, Houston, Texas, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8922-1242","authenticated-orcid":false,"given":"Paolo","family":"Rosso","sequence":"additional","affiliation":[{"name":"Universitat Polit\u00e8cnica de Val\u00e8ncia, Valencia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8484-4304","authenticated-orcid":false,"given":"Sudipta","family":"Kar","sequence":"additional","affiliation":[{"name":"Amazon Alexa AI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3541-9405","authenticated-orcid":false,"given":"Thamar","family":"Solorio","sequence":"additional","affiliation":[{"name":"University of Houston, Houston, Texas, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,12,15]]},"reference":[{"key":"e_1_3_2_2_1","doi-asserted-by":"crossref","unstructured":"Ahmed Ahmet and Tariq Abdullah. 2020. 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