{"id":"https://openalex.org/W4320035676","doi":"https://doi.org/10.1080/09540091.2023.2173145","title":"An enhanced text classification model by the inverted attention orthogonal projection module","display_name":"An enhanced text classification model by the inverted attention orthogonal projection module","publication_year":2023,"publication_date":"2023-02-11","ids":{"openalex":"https://openalex.org/W4320035676","doi":"https://doi.org/10.1080/09540091.2023.2173145"},"language":"en","primary_location":{"id":"doi:10.1080/09540091.2023.2173145","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2023.2173145","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2023.2173145?download=true","source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"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":"Connection Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2023.2173145?download=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103242236","display_name":"Hong Zhao","orcid":"https://orcid.org/0000-0002-5515-6139"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhao","raw_affiliation_strings":["School of Computer and Communication, Lanzhou University of Technology, Lanzhou, People\u2019s Republic of China","School of Computer and Communication, Lanzhou University of Technology, Lanzhou, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I22716506"]},{"raw_affiliation_string":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou, People's Republic of China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027634674","display_name":"Chenpeng Zhang","orcid":"https://orcid.org/0000-0001-6789-1037"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenpeng Zhang","raw_affiliation_strings":["School of Computer and Communication, Lanzhou University of Technology, Lanzhou, People\u2019s Republic of China","School of Computer and Communication, Lanzhou University of Technology, Lanzhou, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I22716506"]},{"raw_affiliation_string":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou, People's Republic of China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062813361","display_name":"Aolong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aolong Wang","raw_affiliation_strings":["School of Computer and Communication, Lanzhou University of Technology, Lanzhou, People\u2019s Republic of China","School of Computer and Communication, Lanzhou University of Technology, Lanzhou, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I22716506"]},{"raw_affiliation_string":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou, People's Republic of China","institution_ids":["https://openalex.org/I22716506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027634674"],"corresponding_institution_ids":["https://openalex.org/I22716506"],"apc_list":{"value":1270,"currency":"USD","value_usd":1270},"apc_paid":{"value":1270,"currency":"USD","value_usd":1270},"fwci":0.1685,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51796492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"35","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994999766349792,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9994999766349792,"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":0.9983000159263611,"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":0.992900013923645,"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":0.7819451093673706},{"id":"https://openalex.org/keywords/orthographic-projection","display_name":"Orthographic projection","score":0.7668449878692627},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.745081901550293},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.7044413685798645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6701463460922241},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6254580020904541},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5604133605957031},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5231212973594666},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42154160141944885},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3261406421661377},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16822299361228943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7819451093673706},{"id":"https://openalex.org/C175694140","wikidata":"https://www.wikidata.org/wiki/Q980329","display_name":"Orthographic projection","level":2,"score":0.7668449878692627},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.745081901550293},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.7044413685798645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6701463460922241},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6254580020904541},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5604133605957031},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5231212973594666},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42154160141944885},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3261406421661377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16822299361228943},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/09540091.2023.2173145","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2023.2173145","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2023.2173145?download=true","source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"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":"Connection Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7b82edda8e324e8eaa35faef8e3e4454","is_oa":true,"landing_page_url":"https://doaj.org/article/7b82edda8e324e8eaa35faef8e3e4454","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":"Connection Science, Vol 35, Iss 1 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/09540091.2023.2173145","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2023.2173145","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/09540091.2023.2173145?download=true","source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"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":"Connection Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G2064794908","display_name":null,"funder_award_id":"21YF5GA073","funder_id":"https://openalex.org/F4320325927","funder_display_name":"Science and Technology Department of Gansu Province"},{"id":"https://openalex.org/G4394550696","display_name":null,"funder_award_id":"62166025","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4963518643","display_name":null,"funder_award_id":"21YF5GA073","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325927","display_name":"Science and Technology Department of Gansu Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4320035676.pdf","grobid_xml":"https://content.openalex.org/works/W4320035676.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1485981043","https://openalex.org/W1832693441","https://openalex.org/W1882958252","https://openalex.org/W2064675550","https://openalex.org/W2114524997","https://openalex.org/W2147527908","https://openalex.org/W2153353890","https://openalex.org/W2157331557","https://openalex.org/W2158108973","https://openalex.org/W2160660844","https://openalex.org/W2163455955","https://openalex.org/W2567698949","https://openalex.org/W2741989495","https://openalex.org/W2789132801","https://openalex.org/W2911109671","https://openalex.org/W2970597249","https://openalex.org/W3009565265","https://openalex.org/W3035040493","https://openalex.org/W3147405789","https://openalex.org/W4233658777","https://openalex.org/W4282557730","https://openalex.org/W4282926504","https://openalex.org/W4284672898","https://openalex.org/W4285094202","https://openalex.org/W4287254647","https://openalex.org/W4297609469","https://openalex.org/W4298007906","https://openalex.org/W4312780121","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W240272210","https://openalex.org/W4239527082","https://openalex.org/W2372186565","https://openalex.org/W2089645512","https://openalex.org/W2379343790","https://openalex.org/W2359967926","https://openalex.org/W2355137669","https://openalex.org/W4251903213","https://openalex.org/W2127685231","https://openalex.org/W4237006605"],"abstract_inverted_index":{"The":[0],"orthogonal":[1,32,135,156,163,204],"projection":[2,136,157,205],"method":[3,17,66,206],"has":[4,178],"made":[5],"significant":[6,79],"progress":[7],"in":[8,12],"text":[9,28,114,125,189,209],"classification,":[10],"especially":[11],"generating":[13],"discriminative":[14],"features.":[15,131],"This":[16],"obtains":[18],"more":[19],"pure":[20],"and":[21,43,127,201,220],"suitable":[22],"for":[23,41],"classification":[24,42,190,210],"features":[25,29,36,122,126,142,172],"by":[26],"projecting":[27],"onto":[30],"the":[31,62,82,95,110,117,124,133,152,155,167,170,183,196,202],"direction":[33],"of":[34,64,81,154,169,217],"common":[35,58,130,141,171],"(which":[37],"are":[38],"not":[39],"helpful":[40],"actually":[44],"confuse":[45],"performance).":[46],"However,":[47],"this":[48,65,90,92],"approach":[49],"requires":[50,78],"an":[51,162,213],"additional":[52],"branch":[53,149],"network":[54,84,118,146],"to":[55,68,86,107,119,165],"generate":[56],"these":[57],"features,":[59,115],"which":[60],"reduces":[61],"flexibility":[63,153],"compared":[67],"representation":[69],"optimisation":[70],"methods":[71],"such":[72],"as":[73,76],"self-attention":[74,199],"mechanisms,":[75,200],"it":[77],"modification":[80],"base":[83],"structure":[85],"use.":[87],"To":[88],"address":[89],"issue,":[91],"paper":[93],"proposes":[94],"Inversed":[96],"Attention":[97],"Orthogonal":[98],"Projection":[99],"Module":[100],"(IAOPM).":[101],"IAOPM":[102,138,176,194],"uses":[103],"inversed":[104],"attention":[105,111],"(IA)":[106],"iteratively":[108],"reverse":[109],"map":[112],"on":[113,193,207],"encouraging":[116],"remove":[120],"discriminating":[121],"from":[123],"obtain":[128],"potential":[129],"Unlike":[132],"original":[134,184,203],"method,":[137],"can":[139],"extract":[140],"within":[143],"a":[144],"single":[145],"without":[147],"any":[148],"networks,":[150],"increasing":[151],"method.":[158,185],"We":[159],"also":[160,177],"use":[161],"loss":[164],"ensure":[166],"quality":[168],"during":[173],"training,":[174],"so":[175],"better":[179],"purity":[180],"performance":[181],"than":[182],"Experiments":[186],"show":[187],"that":[188],"models":[191],"based":[192],"outperform":[195],"baseline":[197],"models,":[198],"multiple":[208],"datasets":[211],"with":[212],"average":[214],"accuracy":[215],"increase":[216],"1.02%,":[218],"0.44%,":[219],"0.52%,":[221],"respectively.":[222]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
