Systematic Review on Aspect-Based SentimentAnalysis in Cross-Domain

Systematic Review on Aspect-Based SentimentAnalysis in Cross-Domain | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Systematic Review on Aspect-Based SentimentAnalysis in Cross-Domain René Vieira Santin, Solange Oliveira Rezende This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4548003/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Aspect-level sentiment analysis is crucial for consumers and institutions, enabling them to monitor satisfaction regarding specific aspects of products and services through user reviews. Over time, various artificial intelligence techniques have been implemented with significant success. However, most of these techniques rely heavily on a substantial amount of labeled data. In this context, Cross-Domain Aspect-Based Sentiment Analysis (ABSA) emerges, leveraging data from source domains to enhance performance in the target domain. This systematic review contributes to this framework by outlining the primary solutions developed to tackle this challenge. It presents their data sources, compared methods, and the evolution of the main technologies adopted while identifying gaps that may inspire future research endeavors. A new classification of models is proposed here, considering the cross-domain approach. This fresh perspective aims to assist researchers in their quest for innovation, clarifying the context of their proposal and suggesting relevant comparisons with existing works. Cross-Domain Sentiment Analisys ABSA aspect survey systematic review Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4548003","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":327901176,"identity":"ffc5236b-1e0a-43ac-a652-9f844718f290","order_by":0,"name":"René Vieira Santin","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAnklEQVRIiWNgGAWjYPACGxDBRpKWNNK1HCZBi3l778HHPH/OJ86f3cD2uIIYLTJnziUb87bdTtxw5wC74RlitEhI5JhJzmwAapFIYJNsIEqL/BvznzP+nEucP4NoLRI8Zgwf2A4kNtwgWgtPjrHEx7Zk4w13DrYbEqeF/Yzhh4Q/drLzZzcfe0iUFiTNjCRqAGohVcMoGAWjYBSMGAAAJPwxHfYy0DoAAAAASUVORK5CYII=","orcid":"","institution":"Universidade de São Paulo","correspondingAuthor":true,"prefix":"","firstName":"René","middleName":"Vieira","lastName":"Santin","suffix":""},{"id":327901177,"identity":"234b63cc-d7a3-4ec3-b114-b6e9e5a324d9","order_by":1,"name":"Solange Oliveira Rezende","email":"","orcid":"","institution":"Universidade de São Paulo","correspondingAuthor":false,"prefix":"","firstName":"Solange","middleName":"Oliveira","lastName":"Rezende","suffix":""}],"badges":[],"createdAt":"2024-06-07 20:29:12","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4548003/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4548003/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":60726375,"identity":"b9ceda0c-fd06-4a05-8505-726cb191cd81","added_by":"auto","created_at":"2024-07-20 06:01:46","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1354167,"visible":true,"origin":"","legend":"","description":"","filename":"artigoreviewrene.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4548003/v1_covered_78c8e73d-edfd-4975-993c-1698e75f23f3.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Systematic Review on Aspect-Based SentimentAnalysis in Cross-Domain","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Cross-Domain, Sentiment Analisys, ABSA, aspect, survey, systematic review","lastPublishedDoi":"10.21203/rs.3.rs-4548003/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4548003/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Aspect-level sentiment analysis is crucial for consumers and institutions, enabling them to monitor satisfaction regarding specific aspects of products and services through user reviews. 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