{"id":"https://openalex.org/W4378071406","doi":"https://doi.org/10.1109/access.2023.3279396","title":"Aspect-Context Level Information Extraction via Transformer Based Interactive Attention Mechanism for Sentiment Classification","display_name":"Aspect-Context Level Information Extraction via Transformer Based Interactive Attention Mechanism for Sentiment Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4378071406","doi":"https://doi.org/10.1109/access.2023.3279396"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3279396","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3279396","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10132475.pdf","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://ieeexplore.ieee.org/ielx7/6287639/10005208/10132475.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032051148","display_name":"Sania Nayab","orcid":"https://orcid.org/0000-0002-3898-9091"},"institutions":[{"id":"https://openalex.org/I194348271","display_name":"Government College University, Faisalabad","ror":"https://ror.org/051zgra59","country_code":"PK","type":"education","lineage":["https://openalex.org/I194348271"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Sania Nayab","raw_affiliation_strings":["Department of Computer Science, Government College University, Faisalabad, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-3898-9091","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Government College University, Faisalabad, Pakistan","institution_ids":["https://openalex.org/I194348271"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Muhammad Kashif Hanif","orcid":"https://orcid.org/0000-0001-5150-2228"},"institutions":[{"id":"https://openalex.org/I194348271","display_name":"Government College University, Faisalabad","ror":"https://ror.org/051zgra59","country_code":"PK","type":"education","lineage":["https://openalex.org/I194348271"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Kashif Hanif","raw_affiliation_strings":["Department of Computer Science, Government College University, Faisalabad, Pakistan"],"raw_orcid":"https://orcid.org/0000-0001-5150-2228","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Government College University, Faisalabad, Pakistan","institution_ids":["https://openalex.org/I194348271"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054950321","display_name":"Ramzan Talib","orcid":"https://orcid.org/0000-0002-1996-5916"},"institutions":[{"id":"https://openalex.org/I194348271","display_name":"Government College University, Faisalabad","ror":"https://ror.org/051zgra59","country_code":"PK","type":"education","lineage":["https://openalex.org/I194348271"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Ramzan Talib","raw_affiliation_strings":["Department of Computer Science, Government College University, Faisalabad, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-1996-5916","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Government College University, Faisalabad, Pakistan","institution_ids":["https://openalex.org/I194348271"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047173698","display_name":"Muhammad Umer Sarwar","orcid":"https://orcid.org/0000-0001-6790-1979"},"institutions":[{"id":"https://openalex.org/I194348271","display_name":"Government College University, Faisalabad","ror":"https://ror.org/051zgra59","country_code":"PK","type":"education","lineage":["https://openalex.org/I194348271"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Umer Sarwar","raw_affiliation_strings":["Department of Computer Science, Government College University, Faisalabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Government College University, Faisalabad, Pakistan","institution_ids":["https://openalex.org/I194348271"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032051148"],"corresponding_institution_ids":["https://openalex.org/I194348271"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8425,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77874818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"57683","last_page":"57692"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9876999855041504,"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":0.7868624925613403},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5037972331047058},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4932333827018738},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46411141753196716},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.46171092987060547},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4186108112335205},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.41808217763900757},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.41082483530044556},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3237929940223694},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07338809967041016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7868624925613403},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5037972331047058},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4932333827018738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46411141753196716},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.46171092987060547},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4186108112335205},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.41808217763900757},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.41082483530044556},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3237929940223694},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07338809967041016},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3279396","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3279396","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10132475.pdf","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:fcde379f72f541f1b20e589e5d9f6d49","is_oa":true,"landing_page_url":"https://doaj.org/article/fcde379f72f541f1b20e589e5d9f6d49","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 11, Pp 57683-57692 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3279396","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3279396","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10132475.pdf","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":0.6100000143051147,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4378071406.pdf","grobid_xml":"https://content.openalex.org/works/W4378071406.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W66373487","https://openalex.org/W2064675550","https://openalex.org/W2133564696","https://openalex.org/W2215376118","https://openalex.org/W2251648804","https://openalex.org/W2306941105","https://openalex.org/W2536583325","https://openalex.org/W2558316529","https://openalex.org/W2562607067","https://openalex.org/W2565145181","https://openalex.org/W2753840835","https://openalex.org/W2757541972","https://openalex.org/W2799100448","https://openalex.org/W2885765547","https://openalex.org/W2896457183","https://openalex.org/W2903712410","https://openalex.org/W2913571457","https://openalex.org/W2923978210","https://openalex.org/W2950404230","https://openalex.org/W2962808042","https://openalex.org/W2963168371","https://openalex.org/W2963240575","https://openalex.org/W2963909901","https://openalex.org/W2964098749","https://openalex.org/W2964164368","https://openalex.org/W2969743835","https://openalex.org/W2970583420","https://openalex.org/W2971292190","https://openalex.org/W2977057303","https://openalex.org/W2977348857","https://openalex.org/W2980508402","https://openalex.org/W2985056549","https://openalex.org/W3000409346","https://openalex.org/W3002830755","https://openalex.org/W3005692187","https://openalex.org/W3005712312","https://openalex.org/W3011709004","https://openalex.org/W3037128914","https://openalex.org/W3041083773","https://openalex.org/W3105276837","https://openalex.org/W3184324824","https://openalex.org/W3196319961","https://openalex.org/W3198721561","https://openalex.org/W4206611649","https://openalex.org/W4211186029","https://openalex.org/W4226125242","https://openalex.org/W4229450477","https://openalex.org/W4285242850","https://openalex.org/W4292825932","https://openalex.org/W4312473074","https://openalex.org/W4313328508","https://openalex.org/W4366707273","https://openalex.org/W4385245566","https://openalex.org/W6600949241","https://openalex.org/W6676723433","https://openalex.org/W6679434410","https://openalex.org/W6755207826","https://openalex.org/W6760568010","https://openalex.org/W6767904763","https://openalex.org/W6769001469","https://openalex.org/W6780489933","https://openalex.org/W6800598250","https://openalex.org/W6810747064"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W4317653575","https://openalex.org/W2801635251"],"abstract_inverted_index":{"Aspect-context":[0],"sentiment":[1,215],"classification":[2],"aims":[3],"to":[4,13,156,172,189],"classify":[5],"the":[6,21,30,38,45,52,62,71,75,91,106,113,124,130,152,158,165,174,177,190,223,247],"sentiments":[7],"about":[8],"an":[9],"aspect":[10,22,31,86,205],"that":[11,194],"corresponds":[12],"its":[14,88],"context.":[15],"Typically,":[16],"machine":[17,210],"learning":[18,211],"models":[19],"considers":[20],"and":[23,32,40,69,204,228,241],"context":[24,33,89,100,203],"separately.":[25],"They":[26],"do":[27],"not":[28,118,128],"execute":[29],"in":[34,90,110,179,200],"parallel.":[35],"To":[36],"model":[37,169,219],"contexts":[39],"aspects":[41,95],"separately,":[42],"most":[43],"of":[44,74,83,193,202],"methods":[46],"with":[47,237],"attention":[48,79,115,125,153,184,239],"mechanisms":[49,126,240],"typically":[50],"employ":[51],"Long":[53],"Short":[54],"Term":[55],"Memory":[56],"network":[57],"approach.":[58],"Attention":[59],"mechanisms,":[60],"on":[61,222],"other":[63],"hand,":[64],"take":[65],"this":[66,146,163],"into":[67,151,208],"account":[68],"compute":[70],"parallel":[72],"sequencing":[73],"aspects-context.":[76],"The":[77,182,196,217,231],"interactive":[78,114,183],"mechanism":[80,116,154,185],"extracts":[81],"features":[82],"a":[84,111,180],"specific":[85],"regarding":[87],"sequence,":[92],"which":[93],"means":[94],"are":[96,149],"considered":[97],"when":[98,104],"generating":[99],"sequence":[101],"representations.":[102],"However,":[103],"determining":[105],"relationship":[107,160,175],"between":[108],"words":[109,178],"sentence,":[112],"does":[117],"consider":[119],"semantic":[120,159],"dependency":[121],"information.":[122],"Moreover,":[123],"did":[127],"capture":[129,173],"polysemous":[131],"words.":[132],"Normally":[133],"conventional":[134],"embedding":[135],"models,":[136],"such":[137],"as":[138],"GloVe":[139],"word":[140],"vectors,":[141],"have":[142],"been":[143],"used.":[144],"In":[145],"study,":[147],"transformers":[148],"embedded":[150],"approaches":[155],"overcome":[157],"problem.":[161],"For":[162],"reason,":[164],"BERT":[166],"pre-train":[167],"language":[168],"is":[170,186,206],"used":[171,207],"among":[176],"sentence.":[181],"then":[187],"applied":[188],"model\u2019s":[191],"distribution":[192],"word.":[195],"final":[197],"sequence-to-sequence":[198],"representation":[199],"terms":[201],"general":[209],"classifiers":[212],"for":[213],"aspect-level":[214],"classification.":[216],"proposed":[218,232],"was":[220],"evaluated":[221],"two":[224],"datasets,":[225],"i.e.,":[226],"Restaurant":[227],"Laptop":[229],"review.":[230],"approach":[233],"has":[234],"state-of-the-art":[235],"results":[236],"all":[238],"attained":[242],"significantly":[243],"better":[244],"performance":[245],"than":[246],"existing":[248],"ones.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}