{"id":"https://openalex.org/W4406458485","doi":"https://doi.org/10.1109/bigdata62323.2024.10826001","title":"Utilizing Large Language Models to Synthesize Product Desirability Datasets","display_name":"Utilizing Large Language Models to Synthesize Product Desirability Datasets","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406458485","doi":"https://doi.org/10.1109/bigdata62323.2024.10826001"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10826001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10826001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5022580647","display_name":"John D. Hastings","orcid":"https://orcid.org/0000-0003-0871-3622"},"institutions":[{"id":"https://openalex.org/I125467818","display_name":"Dakota State University","ror":"https://ror.org/016yv6y68","country_code":"US","type":"education","lineage":["https://openalex.org/I125467818"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"John D. Hastings","raw_affiliation_strings":["Dakota State University,The Beacom College of Computer & Cyber Sciences,Madison,SD,USA"],"affiliations":[{"raw_affiliation_string":"Dakota State University,The Beacom College of Computer & Cyber Sciences,Madison,SD,USA","institution_ids":["https://openalex.org/I125467818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077081448","display_name":"Sherri Weitl-Harms","orcid":"https://orcid.org/0000-0002-3653-2928"},"institutions":[{"id":"https://openalex.org/I114493937","display_name":"Creighton University","ror":"https://ror.org/05wf30g94","country_code":"US","type":"education","lineage":["https://openalex.org/I114493937"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sherri Weitl-Harms","raw_affiliation_strings":["Creighton University,Department of Computer Science, Design & Journalism (CSDJ),Omaha,NE,USA"],"affiliations":[{"raw_affiliation_string":"Creighton University,Department of Computer Science, Design & Journalism (CSDJ),Omaha,NE,USA","institution_ids":["https://openalex.org/I114493937"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Joseph Doty","orcid":null},"institutions":[{"id":"https://openalex.org/I125467818","display_name":"Dakota State University","ror":"https://ror.org/016yv6y68","country_code":"US","type":"education","lineage":["https://openalex.org/I125467818"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph Doty","raw_affiliation_strings":["Dakota State University,The Beacom College of Computer & Cyber Sciences,Madison,SD,USA"],"affiliations":[{"raw_affiliation_string":"Dakota State University,The Beacom College of Computer & Cyber Sciences,Madison,SD,USA","institution_ids":["https://openalex.org/I125467818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104954586","display_name":"Zachary J. Myers","orcid":null},"institutions":[{"id":"https://openalex.org/I125467818","display_name":"Dakota State University","ror":"https://ror.org/016yv6y68","country_code":"US","type":"education","lineage":["https://openalex.org/I125467818"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zachary J. Myers","raw_affiliation_strings":["Dakota State University,The Beacom College of Computer & Cyber Sciences,Madison,SD,USA"],"affiliations":[{"raw_affiliation_string":"Dakota State University,The Beacom College of Computer & Cyber Sciences,Madison,SD,USA","institution_ids":["https://openalex.org/I125467818"]}]},{"author_position":"last","author":{"id":null,"display_name":"Warren Thompson","orcid":null},"institutions":[{"id":"https://openalex.org/I114493937","display_name":"Creighton University","ror":"https://ror.org/05wf30g94","country_code":"US","type":"education","lineage":["https://openalex.org/I114493937"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Warren Thompson","raw_affiliation_strings":["Creighton University,Department of Computer Science, Design & Journalism (CSDJ),Omaha,NE,USA"],"affiliations":[{"raw_affiliation_string":"Creighton University,Department of Computer Science, Design & Journalism (CSDJ),Omaha,NE,USA","institution_ids":["https://openalex.org/I114493937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022580647"],"corresponding_institution_ids":["https://openalex.org/I125467818"],"apc_list":null,"apc_paid":null,"fwci":4.5277,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.95300762,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5352","last_page":"5360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10260","display_name":"Software Engineering Research","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9372000098228455,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9358000159263611,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7165338397026062},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5670359134674072},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40637898445129395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3446310758590698},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12599360942840576}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7165338397026062},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5670359134674072},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40637898445129395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3446310758590698},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12599360942840576},{"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:10.1109/bigdata62323.2024.10826001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10826001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W126897752","https://openalex.org/W1505869601","https://openalex.org/W1966838975","https://openalex.org/W1979021834","https://openalex.org/W1979406544","https://openalex.org/W1984388688","https://openalex.org/W2014449595","https://openalex.org/W2038536389","https://openalex.org/W2056168656","https://openalex.org/W2143608744","https://openalex.org/W2162446612","https://openalex.org/W2301363727","https://openalex.org/W2488447454","https://openalex.org/W2524189006","https://openalex.org/W2734594493","https://openalex.org/W2893047914","https://openalex.org/W2903696614","https://openalex.org/W2931506968","https://openalex.org/W2963809228","https://openalex.org/W2964236337","https://openalex.org/W2992132578","https://openalex.org/W2998184481","https://openalex.org/W3001840202","https://openalex.org/W3022574011","https://openalex.org/W3023067998","https://openalex.org/W3120896275","https://openalex.org/W3130431100","https://openalex.org/W3214897310","https://openalex.org/W4206636317","https://openalex.org/W4223998395","https://openalex.org/W4247572414","https://openalex.org/W4281786142","https://openalex.org/W4298196011","https://openalex.org/W4310354430","https://openalex.org/W4386442184","https://openalex.org/W4391583884","https://openalex.org/W4391965576","https://openalex.org/W4392427925","https://openalex.org/W4402780124","https://openalex.org/W6634908437","https://openalex.org/W6683926663","https://openalex.org/W6750573350","https://openalex.org/W6788358231","https://openalex.org/W6873292309","https://openalex.org/W7073870695"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"This":[0],"research":[1],"explores":[2],"the":[3,85],"application":[4],"of":[5,90],"large":[6],"language":[7],"models":[8],"(LLMs)":[9],"to":[10,35,48,81],"generate":[11],"synthetic":[12,111],"datasets":[13,55],"for":[14,58],"Product":[15],"Desirability":[16],"Toolkit":[17],"(PDT)":[18],"testing,":[19],"a":[20,32],"key":[21],"component":[22],"in":[23,104,122],"evaluating":[24],"user":[25],"sentiment":[26,59,70],"and":[27,43,63,88,120],"product":[28,51],"experience.":[29],"Utilizing":[30],"gpt-4o-mini,":[31],"cost-effective":[33],"alternative":[34],"larger":[36],"commercial":[37],"LLMs,":[38],"three":[39],"methods,":[40,74],"Word+Review,":[41],"Review+Word,":[42],"Supply-Word,":[44],"were":[45,56],"each":[46],"used":[47],"synthesize":[49],"1000":[50],"reviews.":[52],"The":[53],"generated":[54],"assessed":[57],"alignment,":[60],"textual":[61],"diversity,":[62],"data":[64,112],"generation":[65,96],"cost.":[66],"Results":[67],"demonstrated":[68],"high":[69],"alignment":[71],"across":[72],"all":[73],"with":[75,94,106],"Pearson":[76],"correlations":[77],"ranging":[78],"from":[79],"0.93":[80],"0.97.":[82],"Supply-Word":[83],"exhibited":[84],"highest":[86],"diversity":[87],"coverage":[89],"PDT":[91],"terms,":[92],"although":[93],"increased":[95],"costs.":[97],"Despite":[98],"minor":[99],"biases":[100],"toward":[101],"positive":[102],"sentiments,":[103],"situations":[105],"limited":[107],"test":[108],"data,":[109],"LLM-generated":[110],"offers":[113],"significant":[114],"advantages,":[115],"including":[116],"scalability,":[117],"cost":[118],"savings,":[119],"flexibility":[121],"dataset":[123],"production.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}