{"id":"https://openalex.org/W2990129687","doi":"https://doi.org/10.1109/access.2019.2955924","title":"Large-Scale Text Classification Using Scope-Based Convolutional Neural Network: A Deep Learning Approach","display_name":"Large-Scale Text Classification Using Scope-Based Convolutional Neural Network: A Deep Learning Approach","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2990129687","doi":"https://doi.org/10.1109/access.2019.2955924","mag":"2990129687"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2955924","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2955924","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08913565.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8600701/08913565.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100426814","display_name":"Jiaying Wang","orcid":"https://orcid.org/0000-0002-7940-7801"},"institutions":[{"id":"https://openalex.org/I83714178","display_name":"Shenyang Jianzhu University","ror":"https://ror.org/01zr73v18","country_code":"CN","type":"education","lineage":["https://openalex.org/I83714178"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaying Wang","raw_affiliation_strings":["Big Data Management and Analysis Laboratory of Urban Construction, Shenyang Jianzhu University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-7940-7801","affiliations":[{"raw_affiliation_string":"Big Data Management and Analysis Laboratory of Urban Construction, Shenyang Jianzhu University, Shenyang, China","institution_ids":["https://openalex.org/I83714178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378842","display_name":"Yaxin Li","orcid":"https://orcid.org/0000-0002-2460-5093"},"institutions":[{"id":"https://openalex.org/I83714178","display_name":"Shenyang Jianzhu University","ror":"https://ror.org/01zr73v18","country_code":"CN","type":"education","lineage":["https://openalex.org/I83714178"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaxin Li","raw_affiliation_strings":["Big Data Management and Analysis Laboratory of Urban Construction, Shenyang Jianzhu University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-2460-5093","affiliations":[{"raw_affiliation_string":"Big Data Management and Analysis Laboratory of Urban Construction, Shenyang Jianzhu University, Shenyang, China","institution_ids":["https://openalex.org/I83714178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101972429","display_name":"Jing Shan","orcid":"https://orcid.org/0000-0001-8209-1775"},"institutions":[{"id":"https://openalex.org/I83714178","display_name":"Shenyang Jianzhu University","ror":"https://ror.org/01zr73v18","country_code":"CN","type":"education","lineage":["https://openalex.org/I83714178"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Shan","raw_affiliation_strings":["Big Data Management and Analysis Laboratory of Urban Construction, Shenyang Jianzhu University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-8209-1775","affiliations":[{"raw_affiliation_string":"Big Data Management and Analysis Laboratory of Urban Construction, Shenyang Jianzhu University, Shenyang, China","institution_ids":["https://openalex.org/I83714178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051906468","display_name":"Jinling Bao","orcid":"https://orcid.org/0000-0002-8118-7449"},"institutions":[{"id":"https://openalex.org/I4210103627","display_name":"BaiCheng Normal University","ror":"https://ror.org/01djkf495","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210103627"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinling Bao","raw_affiliation_strings":["Computer Science Faculty, Baicheng Normal University, Baicheng, China"],"raw_orcid":"https://orcid.org/0000-0002-8118-7449","affiliations":[{"raw_affiliation_string":"Computer Science Faculty, Baicheng Normal University, Baicheng, China","institution_ids":["https://openalex.org/I4210103627"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040162123","display_name":"Chuanyu Zong","orcid":"https://orcid.org/0000-0002-6946-8651"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanyu Zong","raw_affiliation_strings":["College of Computer Science, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-6946-8651","affiliations":[{"raw_affiliation_string":"College of Computer Science, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061568038","display_name":"Liang Zhao","orcid":"https://orcid.org/0000-0001-5829-6850"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhao","raw_affiliation_strings":["College of Computer Science, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-5829-6850","affiliations":[{"raw_affiliation_string":"College of Computer Science, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100426814"],"corresponding_institution_ids":["https://openalex.org/I83714178"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.1939,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.9372955,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"171548","last_page":"171558"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8150167465209961},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7307400703430176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6974577903747559},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6924923062324524},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.6191308498382568},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5564464330673218},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4938412308692932},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4635647237300873},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33576080203056335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8150167465209961},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7307400703430176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6974577903747559},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6924923062324524},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.6191308498382568},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5564464330673218},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4938412308692932},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4635647237300873},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33576080203056335},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2955924","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2955924","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08913565.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:458c9800e7d247bba58927c048b63512","is_oa":true,"landing_page_url":"https://doaj.org/article/458c9800e7d247bba58927c048b63512","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 7, Pp 171548-171558 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2955924","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2955924","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08913565.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G247042856","display_name":null,"funder_award_id":"61702346","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2889802256","display_name":null,"funder_award_id":"61701322","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4617408001","display_name":null,"funder_award_id":"61702345","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5725378898","display_name":null,"funder_award_id":"20170540700","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"},{"id":"https://openalex.org/G8812610338","display_name":null,"funder_award_id":"61802268","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2990129687.pdf","grobid_xml":"https://content.openalex.org/works/W2990129687.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1522930027","https://openalex.org/W1614298861","https://openalex.org/W1648885110","https://openalex.org/W1826790618","https://openalex.org/W1832693441","https://openalex.org/W2034170092","https://openalex.org/W2095705004","https://openalex.org/W2097089247","https://openalex.org/W2103333826","https://openalex.org/W2107425660","https://openalex.org/W2107827038","https://openalex.org/W2118020653","https://openalex.org/W2119632338","https://openalex.org/W2120615054","https://openalex.org/W2125031621","https://openalex.org/W2126165619","https://openalex.org/W2170240176","https://openalex.org/W2250539671","https://openalex.org/W2250879510","https://openalex.org/W2265846598","https://openalex.org/W2284289336","https://openalex.org/W2407776548","https://openalex.org/W2522720655","https://openalex.org/W2565439473","https://openalex.org/W2571253853","https://openalex.org/W2731449405","https://openalex.org/W2739852731","https://openalex.org/W2740721704","https://openalex.org/W2741271950","https://openalex.org/W2808133401","https://openalex.org/W2896457183","https://openalex.org/W2912503608","https://openalex.org/W2919115771","https://openalex.org/W2943193077","https://openalex.org/W2952230511","https://openalex.org/W2962853227","https://openalex.org/W2963355447","https://openalex.org/W2963626623","https://openalex.org/W2964046515","https://openalex.org/W3102444842","https://openalex.org/W6631307659","https://openalex.org/W6636510571","https://openalex.org/W6636944375","https://openalex.org/W6674330103","https://openalex.org/W6675969814","https://openalex.org/W6676236601","https://openalex.org/W6677676872","https://openalex.org/W6678885109","https://openalex.org/W6683738474","https://openalex.org/W6685053522","https://openalex.org/W6693505360","https://openalex.org/W6695662000","https://openalex.org/W6713582272","https://openalex.org/W6732491067","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W4241523039","https://openalex.org/W2360028903","https://openalex.org/W4280543773","https://openalex.org/W178231042","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Text":[0],"classification":[1,34],"is":[2,42,110],"one":[3,43],"of":[4,44,97,134],"the":[5,45,50,80,129,135,146],"most":[6,46,130],"important":[7],"and":[8,117,149,181],"typical":[9],"tasks":[10],"in":[11,31,36,49],"Natural":[12],"Language":[13],"Processing":[14],"(NLP)":[15],"which":[16,37,109],"can":[17,92,126,177],"be":[18,89],"applied":[19],"for":[20,62,152],"many":[21],"applications.":[22],"Recently,":[23],"deep":[24,59],"learning":[25,60],"approaches":[26],"has":[27],"shown":[28],"their":[29],"advantages":[30],"solving":[32],"text":[33,64,98,136,186],"problem,":[35],"Convolutional":[38],"Neural":[39],"Network":[40],"(CNN)":[41],"successful":[47],"model":[48,166],"field.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55,125],"propose":[56,101],"a":[57,84,102],"novel":[58],"approach":[61],"categorizing":[63],"documents":[65],"by":[66],"using":[67],"scope-based":[68,104,147],"convolutional":[69,105],"neural":[70,106],"network.":[71],"Different":[72],"from":[73],"window-based":[74],"CNN,":[75],"scope":[76,113],"does":[77],"not":[78],"require":[79],"words":[81],"that":[82,175],"construct":[83],"local":[85,95,132],"feature":[86],"have":[87,157],"to":[88,143,163],"contiguous.":[90],"It":[91],"represent":[93],"deeper":[94],"information":[96,133,148],"data.":[99,187],"We":[100],"large-scale":[103,153],"network":[107],"(LSS-CNN),":[108],"based":[111],"on":[112,122,160,184],"convolution,":[114],"aggregation":[115],"optimization,":[116],"max":[118],"pooling":[119],"operation.":[120],"Based":[121],"these":[123],"techniques,":[124],"gradually":[127],"extract":[128],"valuable":[131],"document.":[137],"This":[138],"paper":[139],"also":[140],"discusses":[141],"how":[142],"effectively":[144],"calculate":[145],"parallel":[150],"training":[151],"datasets.":[154],"Extensive":[155],"experiments":[156],"been":[158],"conducted":[159],"real":[161],"datasets":[162],"compare":[164],"our":[165],"with":[167],"several":[168],"state-of-the-art":[169],"approaches.":[170],"The":[171],"experimental":[172],"results":[173],"show":[174],"LSS-CNN":[176],"achieve":[178],"both":[179],"effectiveness":[180],"good":[182],"scalability":[183],"big":[185]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
