{"id":"https://openalex.org/W4414416570","doi":"https://doi.org/10.1177/14727978251380834","title":"RETRACTED: Research on the application of deep learning-based sentiment analysis models to classical Chinese literary texts","display_name":"RETRACTED: Research on the application of deep learning-based sentiment analysis models to classical Chinese literary texts","publication_year":2025,"publication_date":"2025-09-22","ids":{"openalex":"https://openalex.org/W4414416570","doi":"https://doi.org/10.1177/14727978251380834"},"language":"en","primary_location":{"id":"doi:10.1177/14727978251380834","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14727978251380834","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100579274","display_name":"Zheng Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I10496686","display_name":"Shangrao Normal University","ror":"https://ror.org/024qkwh22","country_code":"CN","type":"education","lineage":["https://openalex.org/I10496686"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zheng Dai","raw_affiliation_strings":["Shangrao Preschool Education College","School of Rural Education Revitalization, Shangrao Preschool Education College, Shangrao, China"],"affiliations":[{"raw_affiliation_string":"Shangrao Preschool Education College","institution_ids":["https://openalex.org/I10496686"]},{"raw_affiliation_string":"School of Rural Education Revitalization, Shangrao Preschool Education College, Shangrao, China","institution_ids":["https://openalex.org/I10496686"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100579274"],"corresponding_institution_ids":["https://openalex.org/I10496686"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1415629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"6","first_page":null,"last_page":null},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9926999807357788,"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":0.9883999824523926,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.7914000153541565},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5895000100135803},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.555899977684021},{"id":"https://openalex.org/keywords/poetry","display_name":"Poetry","score":0.49540001153945923},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47049999237060547},{"id":"https://openalex.org/keywords/classical-chinese","display_name":"Classical Chinese","score":0.36250001192092896},{"id":"https://openalex.org/keywords/chinese-poetry","display_name":"Chinese poetry","score":0.3571999967098236},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.34450000524520874}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7914000153541565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7116000056266785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6190000176429749},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5895000100135803},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.555899977684021},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5317000150680542},{"id":"https://openalex.org/C164913051","wikidata":"https://www.wikidata.org/wiki/Q482","display_name":"Poetry","level":2,"score":0.49540001153945923},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47049999237060547},{"id":"https://openalex.org/C2777828232","wikidata":"https://www.wikidata.org/wiki/Q37041","display_name":"Classical Chinese","level":2,"score":0.36250001192092896},{"id":"https://openalex.org/C541865764","wikidata":"https://www.wikidata.org/wiki/Q1069928","display_name":"Chinese poetry","level":3,"score":0.3571999967098236},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.34450000524520874},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.33799999952316284},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.3368000090122223},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3070000112056732},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.28189998865127563},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C171078966","wikidata":"https://www.wikidata.org/wiki/Q111029","display_name":"Root (linguistics)","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/14727978251380834","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14727978251380834","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W3173544627","https://openalex.org/W3202548348","https://openalex.org/W3213213154","https://openalex.org/W4200013565","https://openalex.org/W4206078786","https://openalex.org/W4206232911","https://openalex.org/W4220774147","https://openalex.org/W4220941542","https://openalex.org/W4223591627","https://openalex.org/W4226026750","https://openalex.org/W4226112897","https://openalex.org/W4226173368","https://openalex.org/W4281785281","https://openalex.org/W4283785590","https://openalex.org/W4288514117","https://openalex.org/W4295296320","https://openalex.org/W4309902990","https://openalex.org/W4317761973","https://openalex.org/W4319762273","https://openalex.org/W4323913474","https://openalex.org/W4327620375","https://openalex.org/W4386865772","https://openalex.org/W4387258712","https://openalex.org/W4391175853","https://openalex.org/W4400660146","https://openalex.org/W4401390340","https://openalex.org/W4402923250","https://openalex.org/W4409956578"],"related_works":[],"abstract_inverted_index":{"Classical":[0],"Chinese":[1,73,94,209],"literary":[2,53,95,199],"texts,":[3,48,194],"such":[4],"as":[5],"poetry":[6],"and":[7,13,30,44,55,79,86,113,176,201,224],"prose,":[8],"are":[9],"rich":[10],"in":[11,52,154,192,221],"emotional":[12,190],"cultural":[14],"expression":[15],"but":[16],"pose":[17],"significant":[18],"challenges":[19],"for":[20,142,149,207,228],"computational":[21,230],"analysis":[22,36,205],"due":[23],"to":[24,40,62,71,181],"their":[25,50],"archaic":[26],"language,":[27],"symbolic":[28],"structures,":[29],"lack":[31],"of":[32,46,76,92,217,232],"punctuation.":[33],"Traditional":[34],"sentiment":[35,151,204],"models":[37],"often":[38],"fail":[39],"capture":[41],"the":[42,83,126,156,160,214,229],"depth":[43],"nuance":[45],"these":[47],"limiting":[49],"effectiveness":[51],"interpretation":[54,231],"digital":[56,101,222],"humanities":[57,223],"research.":[58],"This":[59],"research":[60],"aims":[61],"develop":[63],"a":[64,135],"deep":[65],"learning":[66],"(DL)-based":[67],"RoCoSenti-Classical":[68,161,185],"framework":[69,162,186],"tailored":[70],"classical":[72,93,127,193,208],"literature,":[74],"capable":[75],"accurately":[77],"identifying":[78],"classifying":[80],"sentiments":[81],"despite":[82],"language\u2019s":[84],"complexity":[85],"historical":[87],"nature.":[88],"A":[89],"comprehensive":[90],"corpus":[91],"texts":[96],"was":[97],"gathered":[98],"from":[99,179],"reputable":[100],"sources.":[102],"The":[103,183],"text":[104,110],"data":[105],"underwent":[106],"pre-processing":[107],"steps,":[108],"including":[109],"normalization,":[111],"tokenization,":[112],"stopword":[114],"removal.":[115],"Domain-specific":[116],"language":[117],"representations":[118],"were":[119,131],"created":[120],"by":[121],"fine-tuning":[122],"RoBERTa":[123],"embeddings":[124,130],"on":[125],"corpus.":[128],"These":[129,211],"then":[132],"input":[133],"into":[134],"ConvLSTM":[136],"model,":[137],"which":[138],"combines":[139],"convolutional":[140],"layers":[141,148],"local":[143],"feature":[144],"extraction":[145],"with":[146,172],"LSTM":[147],"progressive":[150],"modeling.":[152],"Implemented":[153],"Python,":[155],"findings":[157,212],"show":[158],"that":[159],"performs":[163],"better":[164],"than":[165],"multimodal":[166],"baseline":[167],"architectures,":[168],"achieving":[169],"superior":[170],"results":[171],"accuracy,":[173],"F1-score,":[174],"recall,":[175],"precision":[177],"ranging":[178],"90%":[180],"97%.":[182],"suggested":[184],"effectively":[187],"captures":[188],"complex":[189],"cues":[191],"demonstrating":[195],"robustness":[196],"across":[197],"different":[198],"genres":[200],"significantly":[202],"improving":[203],"performance":[206],"literature.":[210],"support":[213],"broader":[215],"integration":[216],"Artificial":[218],"Intelligence":[219],"(AI)":[220],"open":[225],"new":[226],"avenues":[227],"ancient":[233],"texts.":[234]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
