{"id":"https://openalex.org/W4400770619","doi":"https://doi.org/10.1109/access.2024.3430092","title":"Target-Aspect-Sentiment Joint Detection: Uncovering Explicit and Implicit Targets Through Aspect-Target-Context-Aware Detection","display_name":"Target-Aspect-Sentiment Joint Detection: Uncovering Explicit and Implicit Targets Through Aspect-Target-Context-Aware Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400770619","doi":"https://doi.org/10.1109/access.2024.3430092"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3430092","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3430092","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3430092","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041216291","display_name":"Mohammad Radi","orcid":"https://orcid.org/0000-0001-8434-1715"},"institutions":[{"id":"https://openalex.org/I117222138","display_name":"Abu Dhabi University","ror":"https://ror.org/01r3kjq03","country_code":"AE","type":"education","lineage":["https://openalex.org/I117222138"]},{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["AE","MY"],"is_corresponding":false,"raw_author_name":"Mohammad Radi","raw_affiliation_strings":["Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia","Abu Dhabi Polytechnic, Abu Dhabi, United Arab Emirates"],"raw_orcid":"https://orcid.org/0000-0001-8434-1715","affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia","institution_ids":["https://openalex.org/I885383172"]},{"raw_affiliation_string":"Abu Dhabi Polytechnic, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I117222138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022576165","display_name":"Nazlia Omar","orcid":"https://orcid.org/0000-0002-8173-8933"},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Nazlia Omar","raw_affiliation_strings":["Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-8173-8933","affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104679619","display_name":"Wandeep Kaur","orcid":null},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Wandeep Kaur","raw_affiliation_strings":["Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.7492,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.91409171,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"100689","last_page":"100699"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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":0.996999979019165,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9966999888420105,"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":0.8827199339866638},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.8522827625274658},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8278516530990601},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6448569893836975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6254501342773438},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6087526082992554},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5440946221351624},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4863062798976898},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.44445598125457764}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8827199339866638},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.8522827625274658},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8278516530990601},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6448569893836975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6254501342773438},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6087526082992554},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5440946221351624},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4863062798976898},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.44445598125457764},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3430092","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3430092","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:918ef452e9e541f3899f5e5521cfa311","is_oa":true,"landing_page_url":"https://doaj.org/article/918ef452e9e541f3899f5e5521cfa311","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 100689-100699 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3430092","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3430092","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1173550986","display_name":null,"funder_award_id":"TAP-K007009","funder_id":"https://openalex.org/F4320322699","funder_display_name":"Universiti Kebangsaan Malaysia"}],"funders":[{"id":"https://openalex.org/F4320322699","display_name":"Universiti Kebangsaan Malaysia","ror":"https://ror.org/00bw8d226"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2251294039","https://openalex.org/W2465978385","https://openalex.org/W2896457183","https://openalex.org/W2896786335","https://openalex.org/W2900401454","https://openalex.org/W2997464781","https://openalex.org/W3032982947","https://openalex.org/W3035529900","https://openalex.org/W3101540846","https://openalex.org/W3108127110","https://openalex.org/W3118681031","https://openalex.org/W3136359687","https://openalex.org/W3142721546","https://openalex.org/W3159156469","https://openalex.org/W3175234726","https://openalex.org/W3176690085","https://openalex.org/W3186190293","https://openalex.org/W3202729335","https://openalex.org/W3215875089","https://openalex.org/W4205598842","https://openalex.org/W4281263235","https://openalex.org/W4285229306","https://openalex.org/W4294203886","https://openalex.org/W4302774380","https://openalex.org/W4311103150","https://openalex.org/W4312084235","https://openalex.org/W4313487628","https://openalex.org/W4315489807","https://openalex.org/W4317568744","https://openalex.org/W4319334880","https://openalex.org/W4366465815","https://openalex.org/W4372259773","https://openalex.org/W4377042723","https://openalex.org/W4384134026","https://openalex.org/W4384937220","https://openalex.org/W4385570584","https://openalex.org/W4385611483","https://openalex.org/W4385776076","https://openalex.org/W4386102698"],"related_works":["https://openalex.org/W2117643817","https://openalex.org/W1988325893","https://openalex.org/W2751613946","https://openalex.org/W4401042251","https://openalex.org/W4399511049","https://openalex.org/W4401042926","https://openalex.org/W2026429670","https://openalex.org/W4401042641","https://openalex.org/W4287887314","https://openalex.org/W4287888941"],"abstract_inverted_index":{"Target":[0,55,97],"Aspect":[1,56,98],"Sentiment":[2,57,99],"Detection":[3,53,68,100],"(TASD)":[4],"is":[5,46,60,128],"challenging":[6],"because":[7],"it":[8],"involves":[9],"various":[10,194],"Natural":[11],"Language":[12],"Processing":[13],"(NLP)":[14],"subtasks":[15],"including":[16],"opinion":[17,37,45,71,81,94,109,133,143,195,207],"target":[18,44,110,134,144],"detection":[19],"and":[20,39,83,108,135,157,185,197],"sentiment":[21,106],"polarity":[22],"classification.":[23],"Despite":[24],"significant":[25],"advancements":[26],"in":[27,178],"this":[28],"area,":[29],"most":[30],"studies":[31],"have":[32],"neglected":[33],"the":[34,132,172],"interrelation":[35],"between":[36],"elements":[38,170],"contexts,":[40],"primarily":[41],"when":[42,167],"a":[43,61,88],"expressed":[47],"implicitly.":[48],"This":[49],"study":[50],"proposes":[51],"Aspect-Target-Context-Aware":[52,67],"for":[54,91,120,142,182,187,201,205],"Detection,":[58],"which":[59],"joint":[62],"learning":[63],"neural-based":[64],"framework.":[65],"The":[66,96,146,161,190],"model":[69,191],"incorporates":[70],"context":[72],"syntactic":[73],"information":[74],"by":[75],"utilizing":[76],"dependency":[77],"relations":[78],"associated":[79],"with":[80,175],"terms,":[82],"considers":[84],"head":[85],"nodes":[86],"as":[87],"primary":[89],"element":[90],"identifying":[92],"relevant":[93],"contexts.":[95],"task":[101],"was":[102,118,148],"divided":[103],"into":[104],"aspect":[105,114],"classification":[107,117],"extraction":[111],"tasks.":[112],"For":[113],"sentiment,":[115],"multiclass":[116],"employed":[119],"aspect-sentiment":[121],"pairs.":[122],"A":[123],"BIO":[124],"tag":[125],"inference":[126],"scheme":[127],"adopted":[129],"to":[130],"detect":[131],"determine":[136],"its":[137],"type":[138],"(implicit":[139],"or":[140],"explicit)":[141],"extraction.":[145],"approach":[147,163],"evaluated":[149],"using":[150],"two":[151],"restaurant":[152],"datasets:":[153],"Task-5":[154],"of":[155,159],"SemEval-2016":[156],"Task-12":[158],"SemEval-2015.":[160],"proposed":[162],"demonstrated":[164],"cutting-edge":[165],"performance":[166],"extracting":[168],"multi-opinion":[169],"from":[171],"TASD":[173],"task,":[174],"notable":[176],"improvements":[177],"Macro-F1":[179],"values:":[180],"3.28%":[181],"SemEval":[183,188],"2015":[184],"5.97%":[186],"2016.":[189],"also":[192],"identifies":[193],"types":[196],"offers":[198],"valuable":[199],"insights":[200],"future":[202],"developments,":[203],"particularly":[204],"implicit":[206],"detection.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
