{"id":"https://openalex.org/W4386558807","doi":"https://doi.org/10.1109/tg.2023.3313121","title":"Leveraging the OPT Large Language Model for Sentiment Analysis of Game Reviews","display_name":"Leveraging the OPT Large Language Model for Sentiment Analysis of Game Reviews","publication_year":2023,"publication_date":"2023-09-08","ids":{"openalex":"https://openalex.org/W4386558807","doi":"https://doi.org/10.1109/tg.2023.3313121"},"language":"en","primary_location":{"id":"doi:10.1109/tg.2023.3313121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tg.2023.3313121","pdf_url":null,"source":{"id":"https://openalex.org/S4210224842","display_name":"IEEE Transactions on Games","issn_l":"2475-1502","issn":["2475-1502","2475-1510"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Games","raw_type":"journal-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/A5026684568","display_name":"Markos Viggiato","orcid":"https://orcid.org/0000-0002-8500-3723"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Markos Viggiato","raw_affiliation_strings":["Analytics of Software, Games and Repository Data (ASGAARD) Lab, University of Alberta, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Analytics of Software, Games and Repository Data (ASGAARD) Lab, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066994589","display_name":"Cor\u2010Paul Bezemer","orcid":"https://orcid.org/0000-0002-0474-5718"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Cor-Paul Bezemer","raw_affiliation_strings":["Analytics of Software, Games and Repository Data (ASGAARD) Lab, University of Alberta, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Analytics of Software, Games and Repository Data (ASGAARD) Lab, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026684568"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":2.2644,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.90475735,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"16","issue":"2","first_page":"493","last_page":"496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9986000061035156,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9904999732971191,"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":0.7776118516921997},{"id":"https://openalex.org/keywords/terminology","display_name":"Terminology","score":0.7474015951156616},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7054091691970825},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6362142562866211},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.586650013923645},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5023379325866699},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4102206528186798},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39200493693351746},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1647508442401886}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7776118516921997},{"id":"https://openalex.org/C547195049","wikidata":"https://www.wikidata.org/wiki/Q1725664","display_name":"Terminology","level":2,"score":0.7474015951156616},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7054091691970825},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6362142562866211},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.586650013923645},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5023379325866699},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4102206528186798},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39200493693351746},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1647508442401886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tg.2023.3313121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tg.2023.3313121","pdf_url":null,"source":{"id":"https://openalex.org/S4210224842","display_name":"IEEE Transactions on Games","issn_l":"2475-1502","issn":["2475-1502","2475-1510"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Games","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W182831726","https://openalex.org/W1607675442","https://openalex.org/W2771509226","https://openalex.org/W2896457183","https://openalex.org/W2953958347","https://openalex.org/W2979826702","https://openalex.org/W3155921065","https://openalex.org/W3172642864","https://openalex.org/W3173777717","https://openalex.org/W3185341429","https://openalex.org/W4224308101","https://openalex.org/W4229005866","https://openalex.org/W4303648699","https://openalex.org/W4385245566","https://openalex.org/W6778883912","https://openalex.org/W6810081322","https://openalex.org/W6811340617","https://openalex.org/W6838865847","https://openalex.org/W6845906316"],"related_works":["https://openalex.org/W2350593162","https://openalex.org/W2390350206","https://openalex.org/W1969477129","https://openalex.org/W2921208823","https://openalex.org/W2353483812","https://openalex.org/W2131808775","https://openalex.org/W2130038259","https://openalex.org/W2360756181","https://openalex.org/W2374093222","https://openalex.org/W2359533638"],"abstract_inverted_index":{"Automatically":[0],"extracting":[1],"players'":[2],"sentiments":[3],"about":[4],"games":[5,17],"can":[6],"help":[7],"game":[8,37,79,85,159],"developers":[9],"to":[10,91,108,136],"better":[11,92,121],"understand":[12,93],"the":[13,40,75,84,94,98,109,137,169],"aspects":[14],"of":[15,78,100,152],"their":[16],"that":[18,27,96,101,117,149],"players":[19],"like":[20],"or":[21],"dislike.":[22],"Our":[23],"prior":[24,62,144],"work":[25,63],"showed":[26],"traditional":[28,113,124,139,153],"sentiment":[29,76,125],"analysis":[30],"techniques":[31],"do":[32],"not":[33],"perform":[34],"well":[35],"on":[36,60,74],"reviews.":[38,80],"However,":[39],"Natural":[41],"Language":[42],"Processing":[43],"(NLP)":[44],"field":[45],"has":[46],"seen":[47],"a":[48,67,128,132],"steep":[49],"progress":[50],"in":[51,142],"recent":[52],"years.":[53],"In":[54],"this":[55],"letter,":[56],"we":[57],"follow":[58],"up":[59],"our":[61,143],"and":[64,103,131,161],"investigate":[65],"how":[66,104],"state-of-the-art":[68],"large":[69],"language":[70],"model":[71,102],"(OPT-175B)":[72],"performs":[73],"classification":[77],"We":[81,115,146],"manually":[82],"analyze":[83],"reviews":[86,157],"wrongly":[87],"classified":[88],"by":[89,112,168],"OPT-175B":[90,118,170],"issues":[95,106],"affect":[97],"performance":[99,122],"those":[105],"compare":[107],"challenges":[110,151],"faced":[111],"classifiers.":[114],"found":[116,148],"achieves":[119],"(far)":[120],"than":[123],"classifiers,":[126,154],"with":[127,158],"72%-increased":[129],"F-measure":[130],"30%-increased":[133],"AUC":[134],"compared":[135],"best":[138],"classifier":[140],"studied":[141],"work.":[145],"also":[147],"common":[150],"such":[155],"as":[156],"comparisons":[160],"negative":[162],"terminology,":[163],"have":[164],"been":[165],"mostly":[166],"solved":[167],"model.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
