{"id":"https://openalex.org/W2900818277","doi":"https://doi.org/10.3390/fi10110113","title":"Chinese Text Classification Model Based on Deep Learning","display_name":"Chinese Text Classification Model Based on Deep Learning","publication_year":2018,"publication_date":"2018-11-20","ids":{"openalex":"https://openalex.org/W2900818277","doi":"https://doi.org/10.3390/fi10110113","mag":"2900818277"},"language":"en","primary_location":{"id":"doi:10.3390/fi10110113","is_oa":true,"landing_page_url":"https://doi.org/10.3390/fi10110113","pdf_url":"https://www.mdpi.com/1999-5903/10/11/113/pdf?version=1542881703","source":{"id":"https://openalex.org/S34838331","display_name":"Future Internet","issn_l":"1999-5903","issn":["1999-5903"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Future Internet","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-5903/10/11/113/pdf?version=1542881703","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100616715","display_name":"Yue Li","orcid":"https://orcid.org/0000-0003-4539-4018"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Li","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai 201620, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai 201620, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051866698","display_name":"Xutao Wang","orcid":"https://orcid.org/0009-0002-8167-595X"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xutao Wang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai 201620, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai 201620, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102315632","display_name":"Pengjian Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengjian Xu","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai 201620, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai 201620, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100616715"],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":6.0921,"has_fulltext":false,"cited_by_count":92,"citation_normalized_percentile":{"value":0.97046783,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"10","issue":"11","first_page":"113","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9973999857902527,"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":0.9973999857902527,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9958999752998352,"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":0.9937999844551086,"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":0.901863694190979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7059493660926819},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6524927020072937},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6397699117660522},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6206557154655457},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5470895767211914},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5278332829475403},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4900439977645874},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4697927236557007},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4523535370826721},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.4335954487323761},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.351739764213562},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32554003596305847},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3207990825176239}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.901863694190979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7059493660926819},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6524927020072937},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6397699117660522},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6206557154655457},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5470895767211914},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5278332829475403},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4900439977645874},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4697927236557007},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4523535370826721},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.4335954487323761},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.351739764213562},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32554003596305847},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3207990825176239},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/fi10110113","is_oa":true,"landing_page_url":"https://doi.org/10.3390/fi10110113","pdf_url":"https://www.mdpi.com/1999-5903/10/11/113/pdf?version=1542881703","source":{"id":"https://openalex.org/S34838331","display_name":"Future Internet","issn_l":"1999-5903","issn":["1999-5903"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Future Internet","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:gam:jftint:v:10:y:2018:i:11:p:113-:d:184238","is_oa":false,"landing_page_url":"https://www.mdpi.com/1999-5903/10/11/113/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:a74a495a92324bf2a7478e182c6e23e2","is_oa":true,"landing_page_url":"https://doaj.org/article/a74a495a92324bf2a7478e182c6e23e2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Future Internet, Vol 10, Iss 11, p 113 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-5903/10/11/113/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/fi10110113","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Future Internet","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/fi10110113","is_oa":true,"landing_page_url":"https://doi.org/10.3390/fi10110113","pdf_url":"https://www.mdpi.com/1999-5903/10/11/113/pdf?version=1542881703","source":{"id":"https://openalex.org/S34838331","display_name":"Future Internet","issn_l":"1999-5903","issn":["1999-5903"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Future Internet","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2900818277.pdf","grobid_xml":"https://content.openalex.org/works/W2900818277.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W1889268436","https://openalex.org/W1982498087","https://openalex.org/W2064675550","https://openalex.org/W2077804127","https://openalex.org/W2112796928","https://openalex.org/W2120615054","https://openalex.org/W2131744502","https://openalex.org/W2147489358","https://openalex.org/W2153579005","https://openalex.org/W2157331557","https://openalex.org/W2163605009","https://openalex.org/W2251939518","https://openalex.org/W2517194566","https://openalex.org/W2751011928","https://openalex.org/W2962853227","https://openalex.org/W2963355447","https://openalex.org/W2964046515","https://openalex.org/W6639301165"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W3008584592","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W2912153778","https://openalex.org/W4288108708","https://openalex.org/W4387163678"],"abstract_inverted_index":{"Text":[0],"classification":[1,47],"is":[2,83,93],"of":[3,17,54,87,95,119,124],"importance":[4],"in":[5,49,181,192,196],"natural":[6],"language":[7],"processing,":[8],"as":[9,74],"the":[10,132,166,175,185,187],"massive":[11],"text":[12,51,193],"information":[13,98],"containing":[14],"huge":[15],"amounts":[16],"value":[18],"needs":[19],"to":[20,31,38,78,110,128,165],"be":[21],"classified":[22],"into":[23],"different":[24,60],"categories":[25],"for":[26,137,145,150,169],"further":[27],"use.":[28],"In":[29,172,184],"order":[30],"better":[32,46],"classify":[33,79],"text,":[34],"our":[35,129,173],"paper":[36],"tries":[37],"build":[39],"a":[40,84,152],"deep":[41,75],"learning":[42,76],"model":[43,134,178,188],"which":[44,92,161],"achieves":[45],"results":[48],"Chinese":[50,80,197],"than":[52],"those":[53],"other":[55],"researchers\u2019":[56],"models.":[57],"After":[58],"comparing":[59],"methods,":[61],"long":[62,139],"short-term":[63,140],"memory":[64,141],"(LSTM)":[65],"and":[66,121,158],"convolutional":[67,167],"neural":[68,89],"network":[69,90],"(CNN)":[70],"methods":[71,77],"were":[72,126],"selected":[73],"text.":[81],"LSTM":[82,120,147],"special":[85],"kind":[86],"recurrent":[88,101],"(RNN),":[91],"capable":[94],"processing":[96],"serialized":[97],"through":[99],"its":[100,108],"structure.":[102],"By":[103],"contrast,":[104],"CNN":[105,125],"has":[106],"shown":[107],"ability":[109],"extract":[111],"features":[112],"from":[113],"visual":[114],"imagery.":[115],"Therefore,":[116],"two":[117],"layers":[118],"one":[122],"layer":[123,168],"integrated":[127],"new":[130],"model:":[131],"BLSTM-C":[133,177],"(BLSTM":[135],"stands":[136,144],"bi-directional":[138],"while":[142],"C":[143],"CNN.)":[146],"was":[148,162,179],"responsible":[149],"obtaining":[151],"sequence":[153],"output":[154],"based":[155],"on":[156],"past":[157],"future":[159],"contexts,":[160],"then":[163],"input":[164],"extracting":[170],"features.":[171],"experiments,":[174],"proposed":[176],"evaluated":[180],"several":[182],"ways.":[183],"results,":[186],"exhibited":[189],"remarkable":[190],"performance":[191],"classification,":[194],"especially":[195],"texts.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":5}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
