{"id":"https://openalex.org/W7130932654","doi":"https://doi.org/10.31449/inf.v50i8.11484","title":"English Composition Topic and Emotion Classification Based on LDA-BERT Fusion and Dual GRU model","display_name":"English Composition Topic and Emotion Classification Based on LDA-BERT Fusion and Dual GRU model","publication_year":2026,"publication_date":"2026-02-21","ids":{"openalex":"https://openalex.org/W7130932654","doi":"https://doi.org/10.31449/inf.v50i8.11484"},"language":null,"primary_location":{"id":"doi:10.31449/inf.v50i8.11484","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i8.11484","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/11484/6519","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.informatica.si/index.php/informatica/article/download/11484/6519","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126571033","display_name":"Lubing Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164787","display_name":"Puyang Vocational and Technical College","ror":"https://ror.org/05t1wae93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210164787"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lubing Shang","raw_affiliation_strings":["Anyang Vocational and Technical College, Anyang, Henan, 455000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anyang Vocational and Technical College, Anyang, Henan, 455000, China","institution_ids":["https://openalex.org/I4210164787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5126571033"],"corresponding_institution_ids":["https://openalex.org/I4210164787"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17662966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":"8","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12260","display_name":"Educational Technology and Pedagogy","score":0.12759999930858612,"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/T12260","display_name":"Educational Technology and Pedagogy","score":0.12759999930858612,"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":0.05889999866485596,"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/T13161","display_name":"Ideological and Political Education","score":0.04969999939203262,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/perplexity","display_name":"Perplexity","score":0.8245999813079834},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.6805999875068665},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46799999475479126},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.444599986076355},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.41659998893737793},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4147999882698059},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.3546000123023987},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.3513000011444092}],"concepts":[{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.8245999813079834},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.6805999875068665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6661999821662903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6495000123977661},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.534500002861023},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46799999475479126},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.444599986076355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4268999993801117},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.41659998893737793},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4147999882698059},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.3546000123023987},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.3483000099658966},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3215999901294708},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3086000084877014},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.25600001215934753},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.2551000118255615},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31449/inf.v50i8.11484","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i8.11484","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/11484/6519","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31449/inf.v50i8.11484","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i8.11484","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/11484/6519","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W7130932654.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,8,104,109,123,146,149,155,160,177,206],"development":[2,208],"of":[3,12,24,92,108,130,133,138,148,168,209],"globalization":[4],"and":[5,21,49,63,70,99,102,106,115,135,159,204],"artificial":[6],"intelligence,":[7],"traditional":[9],"manual":[10],"correction":[11],"English":[13,46,94],"compositions":[14],"has":[15,181],"problems,":[16],"such":[17,189],"as":[18,190],"low":[19],"efficiency":[20],"a":[22,41,71,90,128],"lack":[23],"standardized":[25],"evaluation.":[26,211],"Therefore,":[27],"there":[28,141],"is":[29,56,78],"an":[30,75],"urgent":[31],"need":[32],"for":[33,44,67,80,200],"automated":[34],"analysis.":[35],"The":[36,83,119,165],"study":[37],"aims":[38],"to":[39,58],"develop":[40],"precise":[42],"model":[43,111,126,152],"identifying":[45],"essay":[47],"themes":[48],"classifying":[50],"emotional":[51],"perspectives.":[52],"Latent":[53],"Dirichlet":[54],"allocation":[55],"used":[57,79],"combine":[59],"Probase":[60],"prior":[61],"knowledge":[62],"BERT":[64],"fusion":[65],"technology":[66],"topic":[68,113,124],"modeling,":[69],"Bi-GRU":[72],"network":[73],"with":[74],"attention":[76],"mechanism":[77],"emotion":[81,116,150],"classification.":[82],"experiment":[84,120],"was":[85,153,163,171,174],"carried":[86],"out":[87],"based":[88],"on":[89],"dataset":[91],"66,000":[93],"compositions,":[95,101],"including":[96],"TOEFL,":[97],"IELTS,":[98],"classroom":[100],"verified":[103],"effectiveness":[105],"superiority":[107],"joint":[110],"in":[112,194],"identification":[114],"classification":[117,151],"tasks.":[118],"showed":[121],"that":[122,183],"recognition":[125],"had":[127],"perplexity":[129],"803,":[131],"coherence":[132],"0.831,":[134],"inter-class":[136],"distance":[137],"3.2":[139],"when":[140],"were":[142],"25":[143],"topics.":[144],"When":[145],"threshold":[147],"0.45,":[154],"accuracy":[156],"reached":[157],"80.1%":[158],"F1":[161,166],"value":[162,167],"73.7%.":[164],"2,000":[169],"tests":[170],"76.1%,":[172],"which":[173],"better":[175],"than":[176],"comparison":[178],"model.":[179],"Research":[180],"shown":[182],"this":[184],"solution":[185],"effectively":[186],"solves":[187],"problems":[188],"insufficient":[191],"semantic":[192],"understanding":[193],"existing":[195],"technologies,":[196],"provides":[197],"scientific":[198],"support":[199],"intelligent":[201,207],"evaluation":[202],"systems,":[203],"promotes":[205],"educational":[210]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-02-23T00:00:00"}
