{"id":"https://openalex.org/W4393621880","doi":"https://doi.org/10.5281/zenodo.8176791","title":"Product Reviews for Ordinal Quantification","display_name":"Product Reviews for Ordinal Quantification","publication_year":2023,"publication_date":"2023-07-24","ids":{"openalex":"https://openalex.org/W4393621880","doi":"https://doi.org/10.5281/zenodo.8176791"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.8176791","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.8176791","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.8176791","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030817701","display_name":"Mirko Bunse","orcid":"https://orcid.org/0000-0002-5515-6278"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Bunse, Mirko","raw_affiliation_strings":["TU Dortmund University"],"affiliations":[{"raw_affiliation_string":"TU Dortmund University","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086354805","display_name":"Alejandro Moreo","orcid":"https://orcid.org/0000-0002-0377-1025"},"institutions":[{"id":"https://openalex.org/I4210144062","display_name":"Consorzio Roma Ricerche","ror":"https://ror.org/03jvpn714","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210144062"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Moreo, Alejandro","raw_affiliation_strings":["Consiglio Nazionale delle Ricerche"],"affiliations":[{"raw_affiliation_string":"Consiglio Nazionale delle Ricerche","institution_ids":["https://openalex.org/I4210144062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063975186","display_name":"Fabrizio Sebastiani","orcid":"https://orcid.org/0000-0003-4221-6427"},"institutions":[{"id":"https://openalex.org/I4210144062","display_name":"Consorzio Roma Ricerche","ror":"https://ror.org/03jvpn714","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210144062"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sebastiani, Fabrizio","raw_affiliation_strings":["Consiglio Nazionale delle Ricerche"],"affiliations":[{"raw_affiliation_string":"Consiglio Nazionale delle Ricerche","institution_ids":["https://openalex.org/I4210144062"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070642734","display_name":"Martin Senz","orcid":"https://orcid.org/0000-0002-9377-3939"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Senz, Martin","raw_affiliation_strings":["TU Dortmund University"],"affiliations":[{"raw_affiliation_string":"TU Dortmund University","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030817701"],"corresponding_institution_ids":["https://openalex.org/I200332995"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.18289999663829803,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.18289999663829803,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.17499999701976776,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.17419999837875366,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ordinal-data","display_name":"Ordinal data","score":0.5662068724632263},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.517184853553772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4592643976211548},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37302231788635254},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35636574029922485},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.34102141857147217},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33766067028045654}],"concepts":[{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.5662068724632263},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.517184853553772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4592643976211548},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37302231788635254},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35636574029922485},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34102141857147217},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33766067028045654},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.8176791","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.8176791","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.8176791","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.8176791","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W94839547","https://openalex.org/W1984606470","https://openalex.org/W4281725903","https://openalex.org/W4300104397","https://openalex.org/W1922851888","https://openalex.org/W2048682770","https://openalex.org/W4234725045","https://openalex.org/W2263365858","https://openalex.org/W2070415178","https://openalex.org/W4248032484"],"abstract_inverted_index":{"This":[0,123],"data":[1,42,48,72,178,181,203,218,237],"set":[2,49,219],"comprises":[3],"a":[4,109,135,185,211],"labeled":[5],"training":[6],"set,":[7],"validation":[8],"samples,":[9],"and":[10,134,223,233],"testing":[11],"samples":[12,120],"for":[13,80,206],"ordinal":[14,128,151,158],"quantification.":[15],"The":[16,41,83,104,161,180,215],"goal":[17,57],"of":[18,27,34,39,50,64,96,117,137,145,167,227],"quantification":[19,81,159],"is":[20,43,58,86,108,125,182,220],"not":[21],"to":[22,59,74],"predict":[23,60],"the":[24,32,46,56,61,87,114,176],"class":[25],"label":[26],"each":[28,65],"individual":[29],"instance,":[30,207],"but":[31],"distribution":[33],"labels":[35,97],"in":[36,53,175],"unlabeled":[37],"sets":[38,204],"data.":[40],"extracted":[44],"from":[45,172],"McAuley":[47,217],"product":[51,146],"reviews":[52,147],"Amazon,":[54],"where":[55,92,112,130],"5-star":[62,143],"rating":[63],"textual":[66,213],"review.":[67],"We":[68],"have":[69],"sampled":[70],"this":[71,197],"according":[73],"three":[75],"protocols":[76],"that":[77],"are":[78,98,121,132],"suited":[79],"research.":[82],"first":[84],"protocol":[85,90,163],"artificial":[88],"prevalence":[89],"(APP),":[91],"all":[93,118,226],"possible":[94],"distributions":[95,166,170],"drawn":[99],"with":[100,196],"an":[101,150,157],"equal":[102],"probability.":[103],"second":[105],"protocol,":[106],"APP-OQ(50%),":[107],"variant":[110,124],"thereof,":[111],"only":[113],"smoothest":[115],"50%":[116],"APP":[119],"considered.":[122],"targeted":[126],"at":[127],"quantification,":[129],"classes":[131,139],"ordered":[133],"similarity":[136],"neighboring":[138],"can":[140,200],"be":[141],"assumed.":[142],"ratings":[144],"lie":[148],"on":[149],"scale":[152],"and,":[153],"hence,":[154],"pose":[155],"such":[156],"task.":[160],"third":[162],"considers":[164],"\"real\"":[165],"labels.":[168],"These":[169],"stem":[171],"actual":[173],"products":[174],"original":[177,216],"set.":[179],"represented":[183],"by":[184,238],"RoBERTa":[186],"embedding.":[187],"In":[188],"our":[189,202,228],"experience,":[190],"logistic":[191],"regression":[192],"classifiers":[193],"work":[194],"well":[195],"representation.":[198,214],"You":[199],"extract":[201],"yourself,":[205],"if":[208],"you":[209],"require":[210],"raw":[212],"public":[221],"already":[222],"we":[224],"provide":[225],"extraction":[229],"scripts.":[230],"Extraction":[231],"scripts":[232],"experiments:":[234],"https://github.com/mirkobunse/regularized-oq":[235],"Original":[236],"McAuley:":[239],"https://jmcauley.ucsd.edu/data/amazon/":[240]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
