{"id":"https://openalex.org/W3002286831","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965709","title":"Similarity Judgment of Civil Aviation Regulations Based on Doc2Vec Deep Learning Algorithm","display_name":"Similarity Judgment of Civil Aviation Regulations Based on Doc2Vec Deep Learning Algorithm","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3002286831","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965709","mag":"3002286831"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei48845.2019.8965709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5100461131","display_name":"Haoyang Zhang","orcid":"https://orcid.org/0009-0003-6742-7914"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoyang Zhang","raw_affiliation_strings":["Nanjing university of aeronautics and astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing university of aeronautics and astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003201141","display_name":"Liang Zhou","orcid":"https://orcid.org/0000-0002-5099-4870"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhou","raw_affiliation_strings":["Nanjing university of aeronautics and astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing university of aeronautics and astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100461131"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":0.5601,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76220508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"40","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9577000141143799,"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":0.9577000141143799,"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":0.9492999911308289,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9466000199317932,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7732758522033691},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7480241656303406},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7425166964530945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.589439868927002},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5809950232505798},{"id":"https://openalex.org/keywords/civil-aviation","display_name":"Civil aviation","score":0.4338149130344391},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42880815267562866},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4216567277908325},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3338496685028076},{"id":"https://openalex.org/keywords/aviation","display_name":"Aviation","score":0.21641641855239868},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10173571109771729}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7732758522033691},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7480241656303406},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7425166964530945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.589439868927002},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5809950232505798},{"id":"https://openalex.org/C512918668","wikidata":"https://www.wikidata.org/wiki/Q206814","display_name":"Civil aviation","level":3,"score":0.4338149130344391},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42880815267562866},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4216567277908325},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3338496685028076},{"id":"https://openalex.org/C74448152","wikidata":"https://www.wikidata.org/wiki/Q765633","display_name":"Aviation","level":2,"score":0.21641641855239868},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10173571109771729},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei48845.2019.8965709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2056944867","https://openalex.org/W2095293504","https://openalex.org/W2171086879","https://openalex.org/W2887047867"],"related_works":["https://openalex.org/W4212957699","https://openalex.org/W4213075786","https://openalex.org/W4213178924","https://openalex.org/W4213274421","https://openalex.org/W4213267779","https://openalex.org/W4213057903","https://openalex.org/W4213021151","https://openalex.org/W4205466024","https://openalex.org/W4213262575","https://openalex.org/W4212948585"],"abstract_inverted_index":{"In":[0],"view":[1],"of":[2,13,28,36,52,71,124,130,148],"such":[3],"problems":[4],"as":[5,101],"the":[6,10,22,26,33,43,50,57,69,81,96,111,119,122,128,140,145,149,152,155,162],"difficulty":[7,23],"in":[8,16,24,68,154],"updating":[9,56],"clustering":[11,82,132],"results":[12,136],"text":[14,53,58,86,90,131,163],"sets":[15],"real":[17],"time":[18],"after":[19],"clustering,":[20],"and":[21,38,55,117,127],"retrieving":[25],"regulations":[27],"specific":[29],"content":[30],"caused":[31],"by":[32,84],"continuous":[34],"promulgation":[35],"laws":[37],"regulations,":[39],"this":[40],"paper":[41,93],"introduces":[42],"Doc2Vec":[44,75,105],"deep":[45,76,106],"learning":[46,77,107],"algorithm":[47,78,108],"to":[48,109,121],"improve":[49],"ability":[51],"retrieval":[54],"classification":[59,123],"results.":[60,133],"Text":[61],"similarity":[62,87,112,150],"calculation":[63],"has":[64],"great":[65],"research":[66],"value":[67],"field":[70],"statistical":[72],"machine":[73],"translation.":[74],"can":[79,159],"update":[80,129],"result":[83],"comparing":[85],"without":[88],"re-implementing":[89],"clustering.":[91],"This":[92],"will":[94],"use":[95,104],"civil":[97],"aviation":[98],"legal":[99,115,125],"provisions":[100,126],"data":[102],"samples,":[103],"calculate":[110],"between":[113,151],"different":[114],"provisions,":[116],"apply":[118],"method":[120,141],"The":[134],"experimental":[135],"show":[137],"that":[138],"although":[139],"does":[142],"not":[143],"achieve":[144],"ideal":[146],"expectation":[147],"texts":[153],"same":[156],"field,":[157],"it":[158],"still":[160],"classify":[161],"more":[164],"accurately.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
