{"id":"https://openalex.org/W4414183172","doi":"https://doi.org/10.1177/14727978251380807","title":"RETRACTED: Big data sentiment analysis and experience optimization of health tourism based on deep learning and NLP","display_name":"RETRACTED: Big data sentiment analysis and experience optimization of health tourism based on deep learning and NLP","publication_year":2025,"publication_date":"2025-09-15","ids":{"openalex":"https://openalex.org/W4414183172","doi":"https://doi.org/10.1177/14727978251380807"},"language":"en","primary_location":{"id":"doi:10.1177/14727978251380807","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14727978251380807","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-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/A5111124990","display_name":"Naizhen Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151929","display_name":"Nanning Normal University","ror":"https://ror.org/04dx82x73","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151929"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nini Wei","raw_affiliation_strings":["GuangXi Vocational Normal University","GuangXi Vocational Normal University, Nanning, China"],"affiliations":[{"raw_affiliation_string":"GuangXi Vocational Normal University","institution_ids":[]},{"raw_affiliation_string":"GuangXi Vocational Normal University, Nanning, China","institution_ids":["https://openalex.org/I4210151929"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5111124990"],"corresponding_institution_ids":["https://openalex.org/I4210151929"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47811486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"6","first_page":null,"last_page":null},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.9168000221252441,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.9168000221252441,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8531000018119812},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7815999984741211},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.697700023651123},{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.6686999797821045},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6546000242233276},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4189000129699707},{"id":"https://openalex.org/keywords/health-tourism","display_name":"Health tourism","score":0.3783000111579895}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8531000018119812},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7815999984741211},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.697700023651123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6863999962806702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6848999857902527},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.6686999797821045},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6546000242233276},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5245000123977661},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46619999408721924},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4189000129699707},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3889000117778778},{"id":"https://openalex.org/C2993226389","wikidata":"https://www.wikidata.org/wiki/Q757232","display_name":"Health tourism","level":3,"score":0.3783000111579895},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.35260000824928284},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.34060001373291016},{"id":"https://openalex.org/C13672336","wikidata":"https://www.wikidata.org/wiki/Q3460803","display_name":"Bag-of-words model","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2847999930381775},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/14727978251380807","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14727978251380807","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W3147529433","https://openalex.org/W3159863617","https://openalex.org/W4205335650","https://openalex.org/W4210576018","https://openalex.org/W4226051135","https://openalex.org/W4281251327","https://openalex.org/W4293240908","https://openalex.org/W4307058583","https://openalex.org/W4317212583","https://openalex.org/W4366090965","https://openalex.org/W4375842072","https://openalex.org/W4382241232","https://openalex.org/W4383265687","https://openalex.org/W4387219867","https://openalex.org/W4387609283","https://openalex.org/W4387623946","https://openalex.org/W4390523643","https://openalex.org/W4390640589","https://openalex.org/W4391251754","https://openalex.org/W4391713785","https://openalex.org/W4392172753","https://openalex.org/W4394569842","https://openalex.org/W4396577438","https://openalex.org/W4398150831","https://openalex.org/W4400200568","https://openalex.org/W4400781802","https://openalex.org/W4401633916"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,24,121,126,141,146,151,154,178,209,221,226],"rise":[2],"of":[3,45,76,125,140,148,228],"health":[4,46,80,168,210,229],"tourism,":[5,47],"tourists\u2019":[6,58,159,187],"requirements":[7],"for":[8,53,68,101,113,208,219],"tourism":[9,81,213],"experience":[10,54,69,223],"are":[11],"increasing":[12],"daily,":[13],"and":[14,30,64,89,97,104,107,167,170,192,211,215,224,230],"sentiment":[15,42,149,205],"analysis":[16,43,206],"has":[17],"become":[18],"an":[19,203],"important":[20],"means":[21],"to":[22,49,79,195],"optimize":[23],"experience.":[25],"Based":[26],"on":[27],"deep":[28,91],"learning":[29,92,109],"natural":[31],"language":[32],"processing":[33],"(NLP)":[34],"technology,":[35],"this":[36],"study":[37,72,179,201],"constructs":[38],"a":[39,216],"big":[40],"data":[41,51,66,87],"model":[44,128],"aiming":[48],"provide":[50],"support":[52,67],"optimization":[55,174,185],"by":[56,183,190,198],"analyzing":[57],"online":[59],"reviews,":[60],"mining":[61],"emotional":[62],"tendencies,":[63],"providing":[65],"optimization.":[70],"The":[71,116],"first":[73],"collected":[74],"millions":[75],"reviews":[77],"related":[78],"from":[82],"major":[83],"travel":[84],"platforms.":[85],"After":[86],"cleaning":[88],"preprocessing,":[90],"models":[93],"such":[94,161],"as":[95,162],"Word2Vec":[96],"BERT":[98],"were":[99,111],"used":[100],"feature":[102],"extraction,":[103],"emotion":[105,114,122],"dictionaries":[106],"machine":[108],"algorithms":[110],"combined":[112],"classification.":[115],"experimental":[117],"results":[118,147],"show":[119],"that":[120,139,157,182],"classification":[123],"accuracy":[124],"proposed":[127],"reaches":[129],"92.3%,":[130],"which":[131],"is":[132],"nearly":[133],"five":[134],"percentage":[135],"points":[136],"higher":[137],"than":[138],"traditional":[142],"method.":[143],"Furthermore,":[144],"through":[145],"analysis,":[150],"research":[152],"identifies":[153],"key":[155],"factors":[156],"affect":[158],"experience,":[160],"service":[163],"quality,":[164],"environmental":[165],"facilities,":[166],"effects,":[169],"puts":[171],"forward":[172],"targeted":[173],"suggestions.":[175],"In":[176],"addition,":[177],"also":[180],"found":[181],"implementing":[184],"measures,":[186],"satisfaction":[188],"increased":[189,197],"8.7%,":[191],"their":[193],"willingness":[194],"revisit":[196],"15.2%.":[199],"This":[200],"provides":[202],"effective":[204],"tool":[207],"wellness":[212,231],"industry":[214],"scientific":[217],"basis":[218],"improving":[220],"tourist":[222],"promoting":[225],"development":[227],"tourism.":[232]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}