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Quadruple sentiment analysis, also called aspect-category-opinion-sentiment quadruple Extraction (ACOSQE), aims to dissect aspect terms, aspect categories, opinion terms, and sentiment polarities while considering implicit sentiment within sentences. Nonetheless, a comprehensive overview of ACOSQE and its corresponding solutions is currently lacking. This is the precise gap that our survey seeks to address. To be more precise, we systematically reclassify all subtasks of ABSA, reorganizing existing research from the perspective of the involved sentiment elements, with a primary focus on the latest advancements in the ACOSQE task. Regarding solutions, our survey offers a comprehensive summary of the state-of-the-art utilization of language models within the ACOSQE task. Additionally, we explore the application of ChatGPT in sentiment analysis. Finally, we review emerging trends and discuss the challenges, providing insights into potential future directions for ACOSQE within the broader context of ABSA.<\/jats:p>","DOI":"10.1007\/s10462-023-10633-x","type":"journal-article","created":{"date-parts":[[2024,1,20]],"date-time":"2024-01-20T01:01:34Z","timestamp":1705712494000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Exploring aspect-based sentiment quadruple extraction with implicit aspects, opinions, and ChatGPT: a comprehensive survey"],"prefix":"10.1007","volume":"57","author":[{"given":"Hao","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Yu-N","family":"Cheah","sequence":"additional","affiliation":[]},{"given":"Osamah Mohammed","family":"Alyasiri","sequence":"additional","affiliation":[]},{"given":"Jieyu","family":"An","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,1,20]]},"reference":[{"key":"10633_CR1","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1109\/ICDSIC56987.2022.10076109","volume-title":"2022 International Conference on Data Science and Intelligent Computing (ICDSIC)","author":"OM Al-Janabi","year":"2022","unstructured":"Al-Janabi OM, Ibrahim MK, Kanaan-Jebna A et al (2022) An improved bi-LSTM performance using DT-we for implicit aspect extraction. 2022 International Conference on Data Science and Intelligent Computing (ICDSIC). 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