{"id":"https://openalex.org/W4391094423","doi":"https://doi.org/10.1109/iciscae59047.2023.10392947","title":"A Novel Approach for Text Classification by Combining Pre-trained BERT Model with CNN Classifier","display_name":"A Novel Approach for Text Classification by Combining Pre-trained BERT Model with CNN Classifier","publication_year":2023,"publication_date":"2023-09-23","ids":{"openalex":"https://openalex.org/W4391094423","doi":"https://doi.org/10.1109/iciscae59047.2023.10392947"},"language":"en","primary_location":{"id":"doi:10.1109/iciscae59047.2023.10392947","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iciscae59047.2023.10392947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE)","raw_type":"proceedings-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/A5100455048","display_name":"Chenxu Wang","orcid":"https://orcid.org/0000-0002-9539-5046"},"institutions":[{"id":"https://openalex.org/I4210141689","display_name":"Yancheng Teachers University","ror":"https://ror.org/042k5fe81","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141689"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenxu Wang","raw_affiliation_strings":["Yancheng Teachers University,College of Information Engineering (College of Software),Yancheng,China","College of Information Engineering (College of Software), Yancheng Teachers University, Yancheng, China"],"affiliations":[{"raw_affiliation_string":"Yancheng Teachers University,College of Information Engineering (College of Software),Yancheng,China","institution_ids":["https://openalex.org/I4210141689"]},{"raw_affiliation_string":"College of Information Engineering (College of Software), Yancheng Teachers University, Yancheng, China","institution_ids":["https://openalex.org/I4210141689"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101745915","display_name":"Yulin Li","orcid":"https://orcid.org/0000-0002-2790-1226"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulin Li","raw_affiliation_strings":["Henan University of Science and Technology,College of Software,Luoyang,China","College of Software, Henan University of Science and Technology, Luoyang, China"],"affiliations":[{"raw_affiliation_string":"Henan University of Science and Technology,College of Software,Luoyang,China","institution_ids":["https://openalex.org/I167383011"]},{"raw_affiliation_string":"College of Software, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100601370","display_name":"Ziying Wang","orcid":"https://orcid.org/0009-0002-8825-0612"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziying Wang","raw_affiliation_strings":["Chengdu University of Technology,College of Computer Science and Cyber Security (Oxford Brookes College),Chengdu,China","College of Computer Science and Cyber Security (Oxford Brookes College), Chengdu University of Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Chengdu University of Technology,College of Computer Science and Cyber Security (Oxford Brookes College),Chengdu,China","institution_ids":["https://openalex.org/I31595395"]},{"raw_affiliation_string":"College of Computer Science and Cyber Security (Oxford Brookes College), Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100455048"],"corresponding_institution_ids":["https://openalex.org/I4210141689"],"apc_list":null,"apc_paid":null,"fwci":0.1748,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59706204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"57","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9980000257492065,"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":0.8409948348999023},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.7383773326873779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.692121148109436},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6669106483459473},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6374613046646118},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4990825653076172},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4594574272632599},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4554351270198822},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4540978968143463},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44159752130508423},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.39767706394195557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8409948348999023},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.7383773326873779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.692121148109436},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6669106483459473},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6374613046646118},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4990825653076172},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4594574272632599},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4554351270198822},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4540978968143463},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44159752130508423},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.39767706394195557},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciscae59047.2023.10392947","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iciscae59047.2023.10392947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W2120615054","https://openalex.org/W2186845332","https://openalex.org/W2251143283","https://openalex.org/W2612690371","https://openalex.org/W2767693128","https://openalex.org/W2952230511","https://openalex.org/W2980708516","https://openalex.org/W2989276524","https://openalex.org/W2997090102","https://openalex.org/W3088577908","https://openalex.org/W3128376221","https://openalex.org/W3157815101","https://openalex.org/W4281740565","https://openalex.org/W4287867774","https://openalex.org/W4322614701","https://openalex.org/W6683738474","https://openalex.org/W6739901393","https://openalex.org/W6745742132","https://openalex.org/W6755862295","https://openalex.org/W6768021236","https://openalex.org/W6769318315","https://openalex.org/W6773642575","https://openalex.org/W6794424991"],"related_works":["https://openalex.org/W4321789545","https://openalex.org/W4288365749","https://openalex.org/W2936497627","https://openalex.org/W3013624417","https://openalex.org/W4287826556","https://openalex.org/W3098382480","https://openalex.org/W4287598411","https://openalex.org/W3100913109","https://openalex.org/W3198458223","https://openalex.org/W3126642501"],"abstract_inverted_index":{"Language":[0],"model":[1,62,75,90,96,118,153],"pre-training":[2,63],"has":[3,28,50],"emerged":[4],"as":[5,58],"a":[6,59,79,87,92],"highly":[7],"effective":[8],"approach":[9,81],"for":[10,82,125],"acquiring":[11],"universal":[12],"language":[13,39,61,74],"representations.":[14],"Among":[15],"the":[16,100,108,126,131,135,140,146,166,172],"state-of-the-art":[17],"models":[18],"in":[19,73,157,177],"this":[20],"field,":[21],"BERT":[22,49,89,117,144],"(Bidirectional":[23],"Encoder":[24],"Representations":[25],"from":[26],"Transformers)":[27],"garnered":[29],"significant":[30],"attention":[31],"due":[32],"to":[33,121,165],"its":[34,43,56],"remarkable":[35],"performance":[36,104,156],"across":[37],"various":[38],"understanding":[40],"tasks.":[41],"With":[42],"advanced":[44],"architecture":[45],"and":[46,111,145,160,183],"innovative":[47],"techniques,":[48],"consistently":[51],"delivered":[52],"impressive":[53],"results,":[54],"solidifying":[55],"position":[57],"leading":[60],"model.":[64],"CNN":[65,93,132],"(Convolutional":[66],"Neural":[67],"Network)":[68],"is":[69,119],"also":[70],"widely":[71],"used":[72],"training.This":[76],"study":[77],"presents":[78],"novel":[80],"text":[83,128],"classification":[84,136],"by":[85],"combining":[86],"pre-trained":[88],"with":[91],"classifier.":[94],"The":[95,116,169],"under":[97],"consideration":[98],"attains":[99],"highest":[101],"level":[102],"of":[103,143,150,174],"currently":[105],"available":[106],"on":[107],"AG":[109],"News":[110],"Amazon":[112],"product":[113],"reviews":[114],"datasets.":[115],"applied":[120],"produce":[122],"contextualized":[123,141],"embeddings":[124,142],"input":[127],"data,":[129],"while":[130],"classifier":[133],"executes":[134],"process.":[137],"By":[138],"utilizing":[139],"n-gram":[147],"feature":[148],"capturing":[149],"CNN,":[151],"our":[152,175],"exhibits":[154],"superior":[155],"both":[158],"accuracy":[159],"F1":[161],"score":[162],"when":[163],"compared":[164],"baseline":[167],"models.":[168],"findings":[170],"indicate":[171],"capability":[173],"methodology":[176],"analyzing":[178],"social":[179],"media,":[180],"determining":[181],"sentiment,":[182],"classifying":[184],"documents.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}