{"id":"https://openalex.org/W4387185160","doi":"https://doi.org/10.3233/faia230604","title":"CERM: Context-Aware Literature-Based Discovery via Sentiment Analysis","display_name":"CERM: Context-Aware Literature-Based Discovery via Sentiment Analysis","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387185160","doi":"https://doi.org/10.3233/faia230604"},"language":"en","primary_location":{"id":"doi:10.3233/faia230604","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230604","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230604","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230604","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053022182","display_name":"Julio Christian Young","orcid":"https://orcid.org/0000-0002-0483-370X"},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Julio Christian Young","raw_affiliation_strings":["Graduate School of Advanced Science and Technology, Tokyo Denki University"],"raw_orcid":"https://orcid.org/0000-0002-0483-370X","affiliations":[{"raw_affiliation_string":"Graduate School of Advanced Science and Technology, Tokyo Denki University","institution_ids":["https://openalex.org/I165522056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010631591","display_name":"Uchenna Akujuobi","orcid":"https://orcid.org/0000-0002-7102-7994"},"institutions":[{"id":"https://openalex.org/I1304132090","display_name":"Sony (Taiwan)","ror":"https://ror.org/0214y7014","country_code":"TW","type":"company","lineage":["https://openalex.org/I1304132090","https://openalex.org/I4210143797"]},{"id":"https://openalex.org/I2800278093","display_name":"Sony Corporation (United States)","ror":"https://ror.org/05k91zb11","country_code":"US","type":"company","lineage":["https://openalex.org/I2800278093"]}],"countries":["TW","US"],"is_corresponding":false,"raw_author_name":"Uchenna Akujuobi","raw_affiliation_strings":["Sony AI, Sony Research Inc"],"raw_orcid":"https://orcid.org/0000-0002-7102-7994","affiliations":[{"raw_affiliation_string":"Sony AI, Sony Research Inc","institution_ids":["https://openalex.org/I1304132090","https://openalex.org/I2800278093"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053022182"],"corresponding_institution_ids":["https://openalex.org/I165522056"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35874253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9790999889373779,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9790999889373779,"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/T10028","display_name":"Topic Modeling","score":0.9650999903678894,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.948199987411499,"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/context","display_name":"Context (archaeology)","score":0.5347582101821899},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.49335184693336487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48600754141807556},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36677733063697815},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3360573649406433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22345185279846191},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20057660341262817},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.05907902121543884}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5347582101821899},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.49335184693336487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48600754141807556},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36677733063697815},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3360573649406433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22345185279846191},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20057660341262817},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.05907902121543884}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/faia230604","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230604","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230604","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:2402.01724","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.01724","pdf_url":"https://arxiv.org/pdf/2402.01724","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.3233/faia230604","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia230604","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230604","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387185160.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1937897895","https://openalex.org/W2061455471","https://openalex.org/W2095632578","https://openalex.org/W2251900677","https://openalex.org/W2493916176","https://openalex.org/W2536725458","https://openalex.org/W2555897561","https://openalex.org/W2788618579","https://openalex.org/W2896405623","https://openalex.org/W2911489562","https://openalex.org/W2911588830","https://openalex.org/W2913946806","https://openalex.org/W2944461164","https://openalex.org/W2952620744","https://openalex.org/W2962369866","https://openalex.org/W2963043971","https://openalex.org/W2964303773","https://openalex.org/W2971296908","https://openalex.org/W2972234915","https://openalex.org/W3001197829","https://openalex.org/W3001219191","https://openalex.org/W3001869580","https://openalex.org/W3045441970","https://openalex.org/W3097517997","https://openalex.org/W3099475240","https://openalex.org/W3118204965","https://openalex.org/W3152567345","https://openalex.org/W3166981553","https://openalex.org/W3177241623","https://openalex.org/W3180414186","https://openalex.org/W3192478068","https://openalex.org/W4229030341","https://openalex.org/W4312868944"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2548633793","https://openalex.org/W2941935829","https://openalex.org/W3089396779","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W3013279174","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W2243502667"],"abstract_inverted_index":{"Driven":[0],"by":[1],"the":[2,49,66,74,102,114,128,179,182,188],"abundance":[3],"of":[4,68,104,139,181],"biomedical":[5,56,71,133,140],"publications,":[6],"we":[7,166],"introduce":[8],"a":[9,97,105,146,169],"sentiment":[10,103,152,157],"analysis":[11,26,153],"task":[12,99,130],"to":[13,19,132,150,177],"understand":[14],"food-health":[15],"relationship.":[16],"Prior":[17],"attempts":[18],"incorporate":[20],"health":[21],"into":[22],"recipe":[23],"recommendation":[24],"and":[25,55,86,141],"systems":[27],"have":[28],"primarily":[29],"focused":[30],"on":[31,41,108,127,136],"ingredient":[32],"nutritional":[33],"components":[34],"or":[35],"utilized":[36],"basic":[37],"computational":[38],"models":[39,46,80],"trained":[40],"curated":[42],"labeled":[43,85],"data.":[44,88],"Enhanced":[45],"that":[47,100,172],"capture":[48],"inherent":[50],"relationship":[51,163],"between":[52],"food":[53,142],"ingredients":[54],"concepts":[57],"can":[58],"be":[59],"more":[60],"beneficial":[61],"for":[62],"food-related":[63],"research,":[64],"given":[65],"wealth":[67],"information":[69],"in":[70],"texts.":[72],"Considering":[73],"costly":[75],"data":[76],"labeling":[77],"process,":[78],"these":[79],"should":[81],"effectively":[82],"utilize":[83],"both":[84],"unlabeled":[87],"This":[89],"paper":[90],"introduces":[91],"Entity":[92],"Relationship":[93],"Sentiment":[94,119],"Analysis":[95,120],"(ERSA),":[96],"new":[98],"captures":[101],"text":[106],"based":[107],"an":[109],"entity":[110,162],"pair.":[111],"ERSA":[112,129,144,183],"extends":[113],"widely":[115],"studied":[116],"Aspect":[117],"Based":[118],"(ABSA)":[121],"task.":[122,184],"Specifically,":[123],"our":[124],"study":[125],"concentrates":[126],"applied":[131],"texts,":[134],"focusing":[135],"(entity-entity)":[137],"pairs":[138],"concepts.":[143],"poses":[145],"significant":[147],"challenge":[148],"compared":[149],"traditional":[151],"tasks,":[154],"as":[155],"sentence":[156],"may":[158],"not":[159],"align":[160],"with":[161],"sentiment.":[164],"Additionally,":[165],"propose":[167],"CERM,":[168],"semi-supervised":[170],"architecture":[171],"combines":[173],"different":[174],"word":[175],"embeddings":[176],"enhance":[178],"encoding":[180],"Experimental":[185],"results":[186],"showcase":[187],"model\u2019s":[189],"efficiency":[190],"across":[191],"diverse":[192],"learning":[193],"scenarios.":[194]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}