{"id":"https://openalex.org/W4387397062","doi":"https://doi.org/10.1080/09540091.2023.2251717","title":"Comparative relation mining of customer reviews based on a hybrid CSR method","display_name":"Comparative relation mining of customer reviews based on a hybrid CSR method","publication_year":2023,"publication_date":"2023-10-06","ids":{"openalex":"https://openalex.org/W4387397062","doi":"https://doi.org/10.1080/09540091.2023.2251717"},"language":"en","primary_location":{"id":"doi:10.1080/09540091.2023.2251717","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2023.2251717","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2023.2251717?download=true","source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2023.2251717?download=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007542519","display_name":"Song Gao","orcid":"https://orcid.org/0000-0001-7427-6681"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]},{"id":"https://openalex.org/I4210160629","display_name":"China Information Technology Security Evaluation Center","ror":"https://ror.org/053cexp66","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210160629"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Song Gao","raw_affiliation_strings":["China Information Technology Security Evaluation Center, Beijing, People\u2019s Republic of China","Chongqing Key Laboratory of Social Economic and Applied Statistics, Chongqing, People\u2019s Republic of China","Chongqing Key Laboratory of Social Economic and Applied Statistics, Chongqing, People's Republic of China","China Information Technology Security Evaluation Center, Beijing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Information Technology Security Evaluation Center, Beijing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I4210160629"]},{"raw_affiliation_string":"Chongqing Key Laboratory of Social Economic and Applied Statistics, Chongqing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"Chongqing Key Laboratory of Social Economic and Applied Statistics, Chongqing, People's Republic of China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"China Information Technology Security Evaluation Center, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I4210160629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058620480","display_name":"Hongwei Wang","orcid":"https://orcid.org/0000-0003-0814-3498"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongwei Wang","raw_affiliation_strings":["School of Economics &amp; Management, Tongji University, Shanghai, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics &amp; Management, Tongji University, Shanghai, People\u2019s Republic of China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721291","display_name":"Yuanjun Zhu","orcid":"https://orcid.org/0000-0001-7932-8516"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanjun Zhu","raw_affiliation_strings":["School of Economics &amp; Management, Tongji University, Shanghai, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics &amp; Management, Tongji University, Shanghai, People\u2019s Republic of China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046602538","display_name":"Jiaqi Liu","orcid":"https://orcid.org/0000-0002-7557-1057"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Liu","raw_affiliation_strings":["School of Economics &amp; Management, Tongji University, Shanghai, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics &amp; Management, Tongji University, Shanghai, People\u2019s Republic of China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073880883","display_name":"Ou Tang","orcid":"https://orcid.org/0000-0003-3058-7431"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ou Tang","raw_affiliation_strings":["Division of Production Economics, Department of Management and Engineering, Link\u00f6ping University, Link\u00f6pin, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Production Economics, Department of Management and Engineering, Link\u00f6ping University, Link\u00f6pin, Sweden","institution_ids":["https://openalex.org/I102134673"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007542519","https://openalex.org/A5058620480"],"corresponding_institution_ids":["https://openalex.org/I116953780","https://openalex.org/I158842170","https://openalex.org/I4210160629"],"apc_list":{"value":1270,"currency":"USD","value_usd":1270},"apc_paid":{"value":1270,"currency":"USD","value_usd":1270},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12846713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7714823484420776},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6665302515029907},{"id":"https://openalex.org/keywords/corporate-social-responsibility","display_name":"Corporate social responsibility","score":0.5057373046875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4359392821788788},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3670901656150818},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35137540102005005},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.08530622720718384}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7714823484420776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6665302515029907},{"id":"https://openalex.org/C141261163","wikidata":"https://www.wikidata.org/wiki/Q218600","display_name":"Corporate social responsibility","level":2,"score":0.5057373046875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4359392821788788},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3670901656150818},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35137540102005005},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08530622720718384},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/09540091.2023.2251717","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2023.2251717","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2023.2251717?download=true","source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},{"id":"pmh:oai:DiVA.org:liu-198436","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-198436","pdf_url":"https://liu.diva-portal.org/smash/get/diva2:1804336/FULLTEXT01","source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article in journal"},{"id":"pmh:oai:doaj.org/article:ab52f79ba9ef4c8c9cdcd56d30dbf05f","is_oa":true,"landing_page_url":"https://doaj.org/article/ab52f79ba9ef4c8c9cdcd56d30dbf05f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Connection Science, Vol 35, Iss 1 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/09540091.2023.2251717","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2023.2251717","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2023.2251717?download=true","source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1245706021","display_name":null,"funder_award_id":"71771177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8844956684","display_name":null,"funder_award_id":"72001215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387397062.pdf","grobid_xml":"https://content.openalex.org/works/W4387397062.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W2358109779","https://openalex.org/W2564377298","https://openalex.org/W2594363579","https://openalex.org/W2602118494","https://openalex.org/W2755635161","https://openalex.org/W2775095356","https://openalex.org/W2808345349","https://openalex.org/W2810624651","https://openalex.org/W2914173314","https://openalex.org/W2946573533","https://openalex.org/W2954557181","https://openalex.org/W2998141838","https://openalex.org/W3026565065","https://openalex.org/W3035537500","https://openalex.org/W3036797454","https://openalex.org/W3114246617","https://openalex.org/W3131096781","https://openalex.org/W3133817499","https://openalex.org/W3147042192","https://openalex.org/W3184362865","https://openalex.org/W3193737783","https://openalex.org/W3196324446","https://openalex.org/W3197421232","https://openalex.org/W3201216393","https://openalex.org/W3206890901","https://openalex.org/W3213849932","https://openalex.org/W4206299674","https://openalex.org/W4212807489","https://openalex.org/W4220848672","https://openalex.org/W4221020940","https://openalex.org/W4294311165","https://openalex.org/W4316670312","https://openalex.org/W4321479962","https://openalex.org/W4367183426","https://openalex.org/W4385434326"],"related_works":["https://openalex.org/W3118640379","https://openalex.org/W3199815307","https://openalex.org/W2754215895","https://openalex.org/W2767533230","https://openalex.org/W2923522460","https://openalex.org/W2698231858","https://openalex.org/W3107243344","https://openalex.org/W4220869604","https://openalex.org/W4205680593","https://openalex.org/W2954332603"],"abstract_inverted_index":{"Online":[0],"reviews":[1],"contain":[2],"comparative":[3,40,150,171,182],"opinions":[4],"that":[5,114,152],"reveal":[6],"the":[7,15,20,39,59,73,93,115,129,135,158,167,175],"competitive":[8],"relationships":[9],"of":[10,17,42,52,108,170,177],"related":[11],"products,":[12],"help":[13],"identify":[14,38,76],"competitiveness":[16],"products":[18],"in":[19,80,92,124,144],"marketplace,":[21],"and":[22,49,72,88,101,122,180],"influence":[23],"consumers'":[24],"purchasing":[25],"choices.The":[26],"Class":[27],"Sequence":[28],"Rule":[29],"(CSR)":[30],"method,":[31,67],"which":[32,68,83],"is":[33,117,162],"previously":[34],"commonly":[35],"used":[36],"to":[37,75,133,164],"relations":[41,71],"reviews,":[43,82],"suffers":[44],"from":[45],"low":[46],"recognition":[47],"efficiency":[48],"inaccurate":[50],"generation":[51],"rules.In":[53,155],"this":[54,139,156],"paper,":[55],"we":[56,112],"improve":[57],"on":[58],"CSR":[60,66,100,160],"method":[61,98,116,140,161],"by":[62,119],"proposing":[63],"a":[64,97],"hybrid":[65],"utilises":[69],"dependency":[70,130],"part-of-speech":[74],"frequent":[77],"sequence":[78,90,126,136],"patterns":[79],"customer":[81],"can":[84],"reduce":[85,134],"manual":[86],"intervention":[87],"reinforce":[89],"rules":[91],"relation":[94,146],"mining":[95,147],"process.Such":[96],"outperforms":[99],"other":[102],"CSR-based":[103],"models":[104],"with":[105],"an":[106],"F-value":[107],"84.67%.In":[109],"different":[110],"experiments,":[111],"find":[113],"characterised":[118],"less":[120],"time-consuming":[121],"efficient":[123],"generating":[125],"patterns,":[127],"as":[128],"direction":[131],"helps":[132],"length.In":[137],"addition,":[138],"also":[141],"performs":[142],"well":[143],"implicit":[145,181],"for":[148],"extracting":[149],"information":[151],"lacks":[153],"obvious":[154],"study,":[157],"optimal":[159],"applied":[163],"automatically":[165],"capture":[166],"deeper":[168],"features":[169],"relations,":[172],"thus":[173],"improving":[174],"process":[176],"recognising":[178],"explicit":[179],"relations.":[183]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
