{"id":"https://openalex.org/W4307459825","doi":"https://doi.org/10.1145/3558819.3565095","title":"Deep Neural Networks for Text Classification","display_name":"Deep Neural Networks for Text Classification","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4307459825","doi":"https://doi.org/10.1145/3558819.3565095"},"language":"en","primary_location":{"id":"doi:10.1145/3558819.3565095","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3558819.3565095","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3558819.3565095","source":{"id":"https://openalex.org/S4363608855","display_name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3558819.3565095","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003585292","display_name":"Linwei Zhong","orcid":"https://orcid.org/0000-0002-8019-5893"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Linwei Zhong","raw_affiliation_strings":["University of California Irvine, United States"],"affiliations":[{"raw_affiliation_string":"University of California Irvine, United States","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003585292"],"corresponding_institution_ids":["https://openalex.org/I204250578"],"apc_list":null,"apc_paid":null,"fwci":0.1039,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.29961215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"292","last_page":"296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","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/T11273","display_name":"Advanced Graph Neural Networks","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/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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":0.9980999827384949,"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":0.8016245365142822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6879308223724365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6171447038650513},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.49557673931121826},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45674246549606323},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4523046314716339},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4453587532043457},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44211283326148987},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.427452027797699},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.41385766863822937},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3804033100605011},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3381460905075073},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1292288899421692}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8016245365142822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6879308223724365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6171447038650513},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.49557673931121826},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45674246549606323},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4523046314716339},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4453587532043457},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44211283326148987},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.427452027797699},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.41385766863822937},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3804033100605011},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3381460905075073},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1292288899421692},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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":1,"locations":[{"id":"doi:10.1145/3558819.3565095","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3558819.3565095","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3558819.3565095","source":{"id":"https://openalex.org/S4363608855","display_name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3558819.3565095","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3558819.3565095","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3558819.3565095","source":{"id":"https://openalex.org/S4363608855","display_name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4307459825.pdf","grobid_xml":"https://content.openalex.org/works/W4307459825.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1970974276","https://openalex.org/W2095688344","https://openalex.org/W2145241906","https://openalex.org/W2970183009","https://openalex.org/W3015777882","https://openalex.org/W4237536682","https://openalex.org/W6606037444"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2012531322","https://openalex.org/W2065457896","https://openalex.org/W3173234801","https://openalex.org/W2611989081","https://openalex.org/W2785900585","https://openalex.org/W2353730437","https://openalex.org/W2490303674","https://openalex.org/W2167984027","https://openalex.org/W2609066826"],"abstract_inverted_index":{"Text":[0],"classification":[1,63,150],"is":[2,23,93],"a":[3,11,17,24,133,203,225],"NLP":[4],"technique":[5],"that":[6],"groups":[7],"open-ended":[8],"text":[9,41,51,149,175],"into":[10],"set":[12],"of":[13,20,40,74,84,108,161,171,197,208,218,222],"predefined":[14],"categories.":[15],"Within":[16],"certain":[18],"amount":[19,39],"text,":[21],"it":[22,92],"task":[25],"we":[26,113],"can":[27],"easily":[28],"handle":[29],"using":[30],"our":[31],"knowledge":[32],"and":[33,80,118,136,202],"common":[34],"sense.":[35],"But":[36,157],"as":[37,186,215],"the":[38,50,62,68,85,89,101,109,116,123,129,143,159,169,195,206,219],"waiting":[42],"to":[43,60,65,167],"be":[44],"classified":[45],"becomes":[46],"larger,":[47],"manually":[48],"labeling":[49],"would":[52],"cost":[53],"too":[54],"many":[55,200],"resources.":[56],"People":[57],"employ":[58],"algorithms":[59,79,105],"automate":[61],"process":[64],"account":[66],"for":[67],"massive":[69],"input":[70],"text.":[71],"In":[72,127,142,177],"terms":[73],"algorithms,":[75],"there":[76],"are":[77],"rule-based":[78,90],"data-driven":[81,104,146],"algorithms.":[82,156],"Because":[83],"limitation":[86],"inherent":[87],"in":[88,96,148,174,199,210],"procedures,":[91],"only":[94],"useful":[95],"very":[97],"limited":[98],"circumstances.":[99],"On":[100],"other":[102],"hand,":[103],"take":[106,168],"advantage":[107],"rich":[110],"available":[111],"data":[112],"have":[114,193],"on":[115,122,227],"internet":[117],"make":[119],"predictions":[120],"based":[121],"previously":[124],"observed":[125],"data.":[126],"general,":[128],"latter":[130],"procedure":[131],"has":[132],"wider":[134],"application":[135],"oftentimes":[137],"produces":[138],"more":[139],"accurate":[140],"results.":[141],"early":[144],"years,":[145,179],"procedures":[147],"were":[151],"dominated":[152],"by":[153],"machine":[154],"learning":[155],"with":[158,224],"development":[160,221],"deep":[162],"learning,":[163],"DL":[164,190],"methods":[165,173],"start":[166],"place":[170],"ML":[172],"classification.":[176],"recent":[178,220],"graph":[180],"neural":[181],"networks(GNN)":[182],"gained":[183],"much":[184],"traction":[185],"researchers":[187],"explore":[188],"new":[189],"models.":[191],"Researchers":[192],"examined":[194],"use":[196,207],"GNNs":[198,209],"domains,":[201],"few":[204],"explored":[205],"TC.":[211],"This":[212],"paper":[213],"serves":[214],"an":[216],"overview":[217],"TC":[223],"focus":[226],"GNNs.":[228]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
