{"id":"https://openalex.org/W2613427926","doi":"https://doi.org/10.1145/3077286.3077291","title":"A Framework for Automated Rating of Online Reviews Against the Underlying Topics","display_name":"A Framework for Automated Rating of Online Reviews Against the Underlying Topics","publication_year":2017,"publication_date":"2017-04-13","ids":{"openalex":"https://openalex.org/W2613427926","doi":"https://doi.org/10.1145/3077286.3077291","mag":"2613427926"},"language":"en","primary_location":{"id":"doi:10.1145/3077286.3077291","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077286.3077291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SouthEast Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090591934","display_name":"Xiangfeng Dai","orcid":"https://orcid.org/0000-0002-5985-1745"},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiangfeng Dai","raw_affiliation_strings":["Department of Computational Science and Engineering, North Carolina A&T State University, Greensboro, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Science and Engineering, North Carolina A&T State University, Greensboro, USA","institution_ids":["https://openalex.org/I35777872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016345745","display_name":"\u202aIrena Spasi\u0107","orcid":"https://orcid.org/0000-0002-8132-3885"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Irena Spasic","raw_affiliation_strings":["School of Computer Science & Informatics, Cardiff University, Cardiff, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Informatics, Cardiff University, Cardiff, UK","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037589199","display_name":"Fr\u00e9d\u00e9ric Andr\u00e8s","orcid":"https://orcid.org/0000-0002-5003-7579"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Frederic Andres","raw_affiliation_strings":["Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8261,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80056677,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"164","last_page":"167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9986000061035156,"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":0.9918000102043152,"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/computer-science","display_name":"Computer science","score":0.7944154739379883},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.699870765209198},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.6643416881561279},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6508647799491882},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.6022749543190002},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5320003628730774},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5203580260276794},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5194479823112488},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.49962520599365234},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.476418137550354},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.45778265595436096},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4537232220172882},{"id":"https://openalex.org/keywords/rating-scale","display_name":"Rating scale","score":0.42367666959762573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41630321741104126},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3574008345603943},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32431191205978394},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20931273698806763},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07795357704162598}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7944154739379883},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.699870765209198},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.6643416881561279},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6508647799491882},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.6022749543190002},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5320003628730774},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5203580260276794},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5194479823112488},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.49962520599365234},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.476418137550354},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.45778265595436096},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4537232220172882},{"id":"https://openalex.org/C83849319","wikidata":"https://www.wikidata.org/wiki/Q7295720","display_name":"Rating scale","level":2,"score":0.42367666959762573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41630321741104126},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3574008345603943},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32431191205978394},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20931273698806763},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07795357704162598},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3077286.3077291","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077286.3077291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SouthEast Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:https://orca.cardiff.ac.uk:99855","is_oa":false,"landing_page_url":"https://orca.cardiff.ac.uk/id/eprint/99855/1/ORCA_99855.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1130813113","https://openalex.org/W1492682337","https://openalex.org/W1783061888","https://openalex.org/W1880262756","https://openalex.org/W1971675255","https://openalex.org/W2099934438","https://openalex.org/W2106477703","https://openalex.org/W2108646579","https://openalex.org/W2112744748","https://openalex.org/W2113786470","https://openalex.org/W2126977778","https://openalex.org/W2138800209","https://openalex.org/W2160660844","https://openalex.org/W2167055514","https://openalex.org/W2168505588","https://openalex.org/W2251939518","https://openalex.org/W2293992322","https://openalex.org/W2414808474","https://openalex.org/W2484569196","https://openalex.org/W2584660656","https://openalex.org/W2608496019","https://openalex.org/W2950577311","https://openalex.org/W3123091093","https://openalex.org/W3124946654"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3186997021","https://openalex.org/W4200618314","https://openalex.org/W4308088897","https://openalex.org/W4286432911","https://openalex.org/W3213893547","https://openalex.org/W2971288699"],"abstract_inverted_index":{"Even":[0],"though":[1],"the":[2,20,123,147,161],"most":[3],"online":[4,69,171],"review":[5],"systems":[6],"offer":[7],"star":[8],"rating":[9,73,163],"in":[10,30],"addition":[11],"to":[12,19,32,44,99,107,121,145,173,195],"free":[13],"text":[14,89],"reviews,":[15],"this":[16,58],"only":[17],"applies":[18],"overall":[21,154],"review.":[22],"However,":[23],"different":[24,28,33],"users":[25],"may":[26,42],"have":[27],"preferences":[29],"relation":[31],"aspects":[34],"of":[35,52,81,125,131,169,177,199],"a":[36,39,49,62,76,167,175],"product":[37],"or":[38],"service":[40],"and":[41,71,93,140,184,201],"struggle":[43],"extract":[45,100],"relevant":[46],"information":[47,132],"from":[48,68],"massive":[50],"amount":[51],"consumer":[53],"reviews":[54,70,172],"available":[55],"online.":[56],"In":[57],"paper,":[59],"we":[60],"present":[61],"framework":[63,181],"for":[64],"extracting":[65],"prevalent":[66,101],"topics":[67],"automatically":[72],"them":[74],"on":[75],"5-star":[77,162],"scale.":[78,164],"It":[79,187],"consists":[80],"five":[82],"modules,":[83],"including":[84],"linguistic":[85],"pre-processing,":[86],"topic":[87,139,155],"modelling,":[88],"classification,":[90],"sentiment":[91,124,141,148,156],"analysis,":[92],"rating.":[94],"Topic":[95],"modelling":[96],"is":[97,119,157,182,188],"used":[98,106,120],"topics,":[102],"which":[103],"are":[104,143],"then":[105,158],"classify":[108],"individual":[109],"sentences":[110],"against":[111],"these":[112],"topics.":[113],"A":[114],"state-of-the-art":[115],"word":[116],"embedding":[117],"method":[118],"measure":[122],"each":[126,135,151],"sentence.":[127],"The":[128,153,179],"two":[129],"types":[130],"associated":[133,149],"with":[134,150],"sentence":[136],"--":[137,142],"its":[138],"combined":[144],"aggregate":[146],"topic.":[152],"projected":[159],"onto":[160],"We":[165],"use":[166],"dataset":[168],"Airbnb":[170],"demonstrate":[174],"proof":[176],"concept.":[178],"proposed":[180],"simple":[183],"fully":[185],"unsupervised.":[186],"also":[189],"domain":[190],"independent,":[191],"and,":[192],"therefore,":[193],"applicable":[194],"any":[196],"other":[197],"domains":[198],"products":[200],"services.":[202]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}