{"id":"https://openalex.org/W7161629551","doi":"https://doi.org/10.20965/jaciii.2026.p0874","title":"REAM: A Multi-Sentiment Review-Driven Method for Fine-Grained Customer Requirement Extraction and Analysis","display_name":"REAM: A Multi-Sentiment Review-Driven Method for Fine-Grained Customer Requirement Extraction and Analysis","publication_year":2026,"publication_date":"2026-05-19","ids":{"openalex":"https://openalex.org/W7161629551","doi":"https://doi.org/10.20965/jaciii.2026.p0874"},"language":"en","primary_location":{"id":"doi:10.20965/jaciii.2026.p0874","is_oa":true,"landing_page_url":"https://doi.org/10.20965/jaciii.2026.p0874","pdf_url":null,"source":{"id":"https://openalex.org/S4511983","display_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","issn_l":"1343-0130","issn":["1343-0130","1883-8014"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4324309662","host_organization_name":"Fuji Technology Press Ltd.","host_organization_lineage":["https://openalex.org/P4324309662"],"host_organization_lineage_names":["Fuji Technology Press Ltd."],"type":"journal"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.20965/jaciii.2026.p0874","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Lei Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wu","raw_affiliation_strings":["School of Mathematics and Computer Science, Shantou University, No.5 Cuifeng Road, Shantou, Guangdong 515821, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Shantou University, No.5 Cuifeng Road, Shantou, Guangdong 515821, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["University of the West of England, Coldharbour Lane, Bristol, BS16 1QY, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of the West of England, Coldharbour Lane, Bristol, BS16 1QY, United Kingdom","institution_ids":["https://openalex.org/I178535277"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lingru Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingru Cai","raw_affiliation_strings":["School of Mathematics and Computer Science, Shantou University, No.5 Cuifeng Road, Shantou, Guangdong 515821, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Shantou University, No.5 Cuifeng Road, Shantou, Guangdong 515821, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"last","author":{"id":null,"display_name":"Chenglong Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglong Xiao","raw_affiliation_strings":["School of Mathematics and Computer Science, Shantou University, No.5 Cuifeng Road, Shantou, Guangdong 515821, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Shantou University, No.5 Cuifeng Road, Shantou, Guangdong 515821, China","institution_ids":["https://openalex.org/I32574673"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.60928053,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":"3","first_page":"874","last_page":"887"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.7203999757766724,"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":0.7203999757766724,"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":0.04439999908208847,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.03590000048279762,"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/key","display_name":"Key (lock)","score":0.5464000105857849},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5192000269889832},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.47909998893737793},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4512999951839447},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4332999885082245},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.40700000524520874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8647000193595886},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5464000105857849},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5192000269889832},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4887000024318695},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.47909998893737793},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4512999951839447},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4332999885082245},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.40700000524520874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3977000117301941},{"id":"https://openalex.org/C57660159","wikidata":"https://www.wikidata.org/wiki/Q5196460","display_name":"Customer intelligence","level":5,"score":0.319599986076355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3095000088214874},{"id":"https://openalex.org/C43595421","wikidata":"https://www.wikidata.org/wiki/Q7939596","display_name":"Voice of the customer","level":5,"score":0.3025999963283539},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C191511416","wikidata":"https://www.wikidata.org/wiki/Q999278","display_name":"Customer satisfaction","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.20965/jaciii.2026.p0874","is_oa":true,"landing_page_url":"https://doi.org/10.20965/jaciii.2026.p0874","pdf_url":null,"source":{"id":"https://openalex.org/S4511983","display_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","issn_l":"1343-0130","issn":["1343-0130","1883-8014"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4324309662","host_organization_name":"Fuji Technology Press Ltd.","host_organization_lineage":["https://openalex.org/P4324309662"],"host_organization_lineage_names":["Fuji Technology Press Ltd."],"type":"journal"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.20965/jaciii.2026.p0874","is_oa":true,"landing_page_url":"https://doi.org/10.20965/jaciii.2026.p0874","pdf_url":null,"source":{"id":"https://openalex.org/S4511983","display_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","issn_l":"1343-0130","issn":["1343-0130","1883-8014"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4324309662","host_organization_name":"Fuji Technology Press Ltd.","host_organization_lineage":["https://openalex.org/P4324309662"],"host_organization_lineage_names":["Fuji Technology Press Ltd."],"type":"journal"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3666468874","display_name":null,"funder_award_id":"2024A1515010250","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W2075904323","https://openalex.org/W2087562021","https://openalex.org/W2104165004","https://openalex.org/W2126579581","https://openalex.org/W2317562345","https://openalex.org/W2493521008","https://openalex.org/W2520828129","https://openalex.org/W2752782242","https://openalex.org/W2772849600","https://openalex.org/W2782438257","https://openalex.org/W2791333126","https://openalex.org/W2835521938","https://openalex.org/W2885476333","https://openalex.org/W2893929634","https://openalex.org/W2899560967","https://openalex.org/W2912943867","https://openalex.org/W2950446185","https://openalex.org/W2964719123","https://openalex.org/W2979023429","https://openalex.org/W3041521928","https://openalex.org/W3049166226","https://openalex.org/W3088807475","https://openalex.org/W3090306696","https://openalex.org/W3096554474","https://openalex.org/W3112384508","https://openalex.org/W3121726600","https://openalex.org/W3213145699","https://openalex.org/W4206453999","https://openalex.org/W4220861476","https://openalex.org/W4224278793","https://openalex.org/W4283754527","https://openalex.org/W4286256928","https://openalex.org/W4296644224","https://openalex.org/W4308347910","https://openalex.org/W4309214952","https://openalex.org/W4313828183","https://openalex.org/W4364381772","https://openalex.org/W4378619455","https://openalex.org/W4384160245","https://openalex.org/W4386319767","https://openalex.org/W4386435074","https://openalex.org/W4388010467","https://openalex.org/W4389776588","https://openalex.org/W4396873766","https://openalex.org/W4410496024","https://openalex.org/W4410949639"],"related_works":[],"abstract_inverted_index":{"Massive":[0],"online":[1],"reviews":[2,84],"play":[3],"a":[4,58,70,131,161],"crucial":[5],"role":[6],"in":[7,24,48,188],"mining":[8],"customer":[9,106,116,135,163],"requirements.":[10,107,136],"However,":[11],"existing":[12],"research":[13],"has":[14],"three":[15,114],"limitations:":[16],"(1)":[17],"the":[18,30,37,43,80,138,142,147,156,169,172,190,196],"inadequate":[19],"capture":[20],"of":[21,32,45,83,105,134,171],"contextual":[22],"semantics":[23],"traditional":[25],"text":[26],"classification":[27,82,153],"models,":[28],"(2)":[29],"lack":[31],"sentiment":[33,121],"analysis":[34,62],"targeted":[35],"at":[36],"product":[38,92,119],"attribute":[39],"level,":[40],"and":[41,61,98,126,183,192],"(3)":[42],"neglect":[44],"inter-attribute":[46,127],"dependencies":[47],"requirement":[49,59,139,164],"analysis.":[50],"To":[51,166],"address":[52],"these":[53],"gaps,":[54],"this":[55,111],"study":[56],"proposed":[57,148],"extraction":[60,140],"method":[63,112],"(REAM)":[64],"that":[65,100,146],"integrated":[66],"multi-sentiment":[67],"reviews.":[68],"Specifically,":[69],"multi-domain":[71],"adaptive":[72],"BERT\u2013BiLSTM\u2013hierarchical":[73],"position-aware":[74],"network":[75],"(HPANet)":[76],"was":[77,177],"developed":[78],"for":[79],"fine-grained":[81],"to":[85,118],"automatically":[86],"categorize":[87],"them":[88],"into":[89],"nine":[90],"key":[91],"attributes":[93],"(for":[94],"example,":[95],"cost-performance":[96],"ratio":[97],"appearance)":[99],"served":[101],"as":[102],"concrete":[103],"manifestations":[104],"For":[108],"requirements":[109],"analysis,":[110],"examined":[113],"dimensions:":[115],"attention":[117],"features,":[120],"orientation":[122],"toward":[123],"specific":[124],"attributes,":[125],"dependencies,":[128],"thereby":[129],"facilitating":[130],"comprehensive":[132],"understanding":[133],"In":[137],"phase,":[141],"experimental":[143],"results":[144],"demonstrated":[145],"model":[149,159],"achieved":[150],"1.2%":[151],"higher":[152],"accuracy":[154,191],"than":[155],"conventional":[157],"BERT":[158],"on":[160,179],"custom-built":[162],"dataset.":[165],"further":[167],"verify":[168],"stability":[170],"BERT\u2013BiLSTM\u2013HPANet":[173],"model,":[174],"additional":[175],"validation":[176],"conducted":[178],"public":[180],"datasets":[181],"(CNews":[182],"ChnSentiCorp),":[184],"revealing":[185],"significant":[186],"improvements":[187],"both":[189],"F1-score":[193],"compared":[194],"with":[195],"baseline":[197],"models.":[198]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-05-19T00:00:00"}
