{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T07:20:24Z","timestamp":1767165624542,"version":"build-2238731810"},"reference-count":46,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,3,15]],"date-time":"2021-03-15T00:00:00Z","timestamp":1615766400000},"content-version":"vor","delay-in-days":73,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12071458"],"award-info":[{"award-number":["12071458"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71731009"],"award-info":[{"award-number":["71731009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>With the development of sentiment analysis, studies have been gradually classified based on different researched candidates. Among them, aspect\u2010based sentiment analysis plays an important role in subtle opinion mining for online reviews. It used to be treated as a group of pipeline tasks but has been proved to be analysed well in an end\u2010to\u2010end model recently. Due to less labelled resources, the need for cross\u2010domain aspect\u2010based sentiment analysis has started to get attention. However, challenges exist when seeking domain\u2010invariant features and keeping domain\u2010dependent features to achieve domain adaptation within a fine\u2010grained task. This paper utilizes the domain\u2010dependent embeddings and designs the model CD\u2010E2EABSA to achieve cross\u2010domain aspect\u2010based sentiment analysis in an end\u2010to\u2010end fashion. The proposed model utilizes the domain\u2010dependent embeddings with a multitask learning strategy to capture both domain\u2010invariant and domain\u2010dependent knowledge. Various experiments are conducted and show the effectiveness of all components on two public datasets. Also, it is also proved that as a cross\u2010domain model, CD\u2010E2EABSA can perform better than most of the in\u2010domain ABSA methods.<\/jats:p>","DOI":"10.1155\/2021\/5529312","type":"journal-article","created":{"date-parts":[[2021,3,15]],"date-time":"2021-03-15T15:50:08Z","timestamp":1615823408000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["[Retracted] Cross\u2010Domain End\u2010To\u2010End Aspect\u2010Based Sentiment Analysis with Domain\u2010Dependent Embeddings"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4675-0398","authenticated-orcid":false,"given":"Yingjie","family":"Tian","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9470-3422","authenticated-orcid":false,"given":"Linrui","family":"Yang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6064-3380","authenticated-orcid":false,"given":"Yunchuan","family":"Sun","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0500-0133","authenticated-orcid":false,"given":"Dalian.","family":"Liu","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,3,15]]},"reference":[{"key":"e_1_2_11_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2017.10.002"},{"key":"e_1_2_11_2_2","doi-asserted-by":"crossref","unstructured":"HuM.andLiuB. 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