Research on the reputation of Chinese cigarette brands based on online comments

Research on the reputation of Chinese cigarette brands based on online comments | 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 Article Research on the reputation of Chinese cigarette brands based on online comments Xiaoyu He, Nan Chen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6746123/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 Background In China, cigarette brands vary, each with unique traits and consumer preferences. Analyzing online comments can truly show brand reputations and user experiences, supporting effective decision-making for cigarette market control. Methods This paper presents an online comment analysis method based on the Latent Dirichlet Allocation (LDA) topic-modeling technique. First, we built a tobacco-field sentiment lexicon. Then, we used the LDA model to identify cigarette brand influencing factors and extract high-frequency feature words. Finally, we gathered 152,383 comments of 25 cigarette brands and calculated the comprehensive evaluation value through sentiment analysis. Results Test data shows: 1) There are 4 key factors in tobacco brand evaluation: price, quality, service and packaging; 2) The comprehensive evaluation value of cigarette brands comparing with existing advanced models is an efficient reference of consumers’affective disposition and demonstrates greater specialized. Conclusion The LDA-based online comment analysis approach provides a basis for cigarette brand R&D and supply decisions, helping meet market and consumer needs better. Physical sciences/Engineering Physical sciences/Materials science Physical sciences/Mathematics and computing LDA model Topic feature words Cigarette sentiment lexicon Sentiment analysis Comprehensive evaluation value 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-6746123","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":542324485,"identity":"80c1a8f9-53c9-42e7-8942-b4e53981ec0f","order_by":0,"name":"Xiaoyu 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comments\u003c/p\u003e","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":"LDA model, Topic feature words, Cigarette sentiment lexicon, Sentiment analysis, Comprehensive evaluation value","lastPublishedDoi":"10.21203/rs.3.rs-6746123/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6746123/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground\u003c/strong\u003e In China, cigarette brands vary, each with unique traits and consumer preferences. Analyzing online comments can truly show brand reputations and user experiences, supporting effective decision-making for cigarette market control. \u003cstrong\u003eMethods \u003c/strong\u003eThis paper presents an online comment analysis method based on the Latent Dirichlet Allocation (LDA) topic-modeling technique. First, we built a tobacco-field sentiment lexicon. Then, we used the LDA model to identify cigarette brand influencing factors and extract high-frequency feature words. Finally, we gathered 152,383 comments of 25 cigarette brands and calculated the comprehensive evaluation value through sentiment analysis.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults \u003c/strong\u003eTest data shows: 1) There are 4 key factors in tobacco brand evaluation: price, quality, service and packaging; 2) The comprehensive evaluation value of cigarette brands comparing with existing advanced models is an efficient reference of consumers’affective disposition and demonstrates greater specialized.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion \u003c/strong\u003eThe LDA-based online comment analysis approach provides a basis for cigarette brand R\u0026amp;D and supply decisions, helping meet market and consumer needs better.\u003c/p\u003e","manuscriptTitle":"Research on the reputation of Chinese cigarette brands based on online comments","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-11-14 23:31:25","doi":"10.21203/rs.3.rs-6746123/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","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}}],"origin":"","ownerIdentity":"8ea36a58-f464-403c-8170-5905394c8c8a","owner":[],"postedDate":"November 14th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":58022559,"name":"Physical sciences/Engineering"},{"id":58022560,"name":"Physical sciences/Materials science"},{"id":58022561,"name":"Physical sciences/Mathematics and computing"}],"tags":[],"updatedAt":"2026-01-09T11:09:30+00:00","versionOfRecord":[],"versionCreatedAt":"2025-11-14 23:31:25","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6746123","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6746123","identity":"rs-6746123","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}