{"id":"https://openalex.org/W7130850864","doi":"https://doi.org/10.31449/inf.v50i6.12220","title":"Multimodal Sentiment and Evaluation Prediction for Cultural Tourism Using an AGT-Optimized Convolutional Deep Belief Network (AGT-ICDBN)","display_name":"Multimodal Sentiment and Evaluation Prediction for Cultural Tourism Using an AGT-Optimized Convolutional Deep Belief Network (AGT-ICDBN)","publication_year":2026,"publication_date":"2026-02-21","ids":{"openalex":"https://openalex.org/W7130850864","doi":"https://doi.org/10.31449/inf.v50i6.12220"},"language":null,"primary_location":{"id":"doi:10.31449/inf.v50i6.12220","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i6.12220","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/12220/6458","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.informatica.si/index.php/informatica/article/download/12220/6458","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043032558","display_name":"Yuanhui Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I28992388","display_name":"Xinzhou Teachers University","ror":"https://ror.org/01175g155","country_code":"CN","type":"education","lineage":["https://openalex.org/I28992388"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanhui Gong","raw_affiliation_strings":["Xinzhou Normal University, Xinzhou, Shanxi, 03400, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinzhou Normal University, Xinzhou, Shanxi, 03400, China","institution_ids":["https://openalex.org/I28992388"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5043032558"],"corresponding_institution_ids":["https://openalex.org/I28992388"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17565398,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.21209999918937683,"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":0.21209999918937683,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.11069999635219574,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.07699999958276749,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.629800021648407},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5658000111579895},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.5584999918937683},{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.5511000156402588},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.420199990272522},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4000000059604645},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.37700000405311584},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.3734999895095825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7688000202178955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6575000286102295},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.629800021648407},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5658000111579895},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.5584999918937683},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.5511000156402588},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45739999413490295},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.420199990272522},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4000000059604645},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3799000084400177},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.37700000405311584},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.3734999895095825},{"id":"https://openalex.org/C48947383","wikidata":"https://www.wikidata.org/wiki/Q830719","display_name":"Visitor pattern","level":2,"score":0.36160001158714294},{"id":"https://openalex.org/C12380541","wikidata":"https://www.wikidata.org/wiki/Q58300","display_name":"Geovisualization","level":4,"score":0.34869998693466187},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.32589998841285706},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.31679999828338623},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2831000089645386},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.27810001373291016},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C2778057375","wikidata":"https://www.wikidata.org/wiki/Q1415049","display_name":"Cultural tourism","level":4,"score":0.2770000100135803},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2750999927520752},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C60671577","wikidata":"https://www.wikidata.org/wiki/Q210272","display_name":"Cultural heritage","level":2,"score":0.27079999446868896}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31449/inf.v50i6.12220","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i6.12220","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/12220/6458","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31449/inf.v50i6.12220","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i6.12220","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/12220/6458","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.6685863733291626}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W7130850864.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Tourism":[0],"is":[1,15,89,100],"a":[2,46,189,237],"vital":[3],"sector":[4],"for":[5,17,66,239],"economic":[6],"development":[7],"and":[8,11,38,56,63,82,106,114,121,141,151,156,174,184,214,227,242],"cultural":[9,67,143,193,246],"preservation,":[10],"understanding":[12],"visitor":[13,36],"experiences":[14],"crucial":[16],"effective":[18],"destination":[19],"management.":[20],"However,":[21],"existing":[22],"sentiment":[23,61,117,140,226],"analysis":[24,62],"methods":[25],"do":[26],"not":[27],"effectively":[28],"integrate":[29,103],"multimodal":[30,50,198],"data,":[31],"limiting":[32],"accurate":[33],"interpretation":[34],"of":[35,192,245],"perceptions":[37],"experience":[39],"evaluation.":[40],"This":[41],"research":[42],"intends":[43],"to":[44,59,91,102,138,204,207,210,212,216,219],"develop":[45],"deep":[47],"learning":[48],"(DL)-driven":[49],"framework":[51,235],"that":[52,196],"integrates":[53],"textual,":[54,104],"visual,":[55,105],"rating":[57,107],"data":[58],"perform":[60],"evaluation":[64,228,244],"prediction":[65,175],"tourism":[68,144,247],"attractions.":[69,145,248],"Textual":[70],"reviews":[71],"are":[72,78,124,154],"preprocessed":[73],"using":[74,126,230],"lemmatization,":[75],"while":[76],"images":[77],"prepared":[79],"through":[80,158],"resizing":[81],"z-score":[83],"normalization.":[84],"Contrastive":[85],"Language\u2013Image":[86],"Pre-training":[87],"(CLIP)":[88],"employed":[90],"extract":[92],"semantic":[93],"visual":[94,122,152],"features.":[95],"The":[96,119,170,233],"intermediate":[97],"fusion":[98],"process":[99],"used":[101],"features":[108,123],"cohesively,":[109],"enabling":[110],"richer":[111],"cross-modal":[112,168],"representation":[113],"more":[115],"precise":[116],"prediction.":[118],"textual":[120,150],"fused":[125],"an":[127],"Artificial":[128],"Gorilla":[129],"Troops":[130],"Optimizer-driven":[131],"Intelligent":[132],"Convolutional":[133],"Deep":[134],"Belief":[135],"Network":[136],"(AGT-ICDBN)":[137],"predict":[139],"evaluate":[142],"In":[146],"this":[147],"framework,":[148],"CLIP":[149],"embeddings":[153],"concatenated":[155],"routed":[157],"ICDBN":[159],"layers,":[160],"where":[161],"convolutional":[162],"Restricted":[163],"Boltzmann":[164],"Machines":[165],"record":[166],"hierarchical":[167],"dependencies.":[169],"AGT":[171],"improves":[172,200],"convergence":[173],"resilience":[176],"by":[177],"fine-tuning":[178],"model":[179],"parameters,":[180],"optimizing":[181],"feature":[182],"selection,":[183],"balancing":[185],"exploration-exploitation.":[186],"Experiments":[187],"on":[188],"curated":[190],"dataset":[191],"attractions":[194],"demonstrate":[195],"integrating":[197],"information":[199],"classification":[201],"accuracy":[202],"(CA)":[203],"0.9895,":[205],"precision":[206],"0.9876,":[208],"recall":[209],"0.9893,AUC":[211],"0.9853":[213],"F1-score":[215],"0.9877":[217],"compared":[218],"unimodal":[220],"approaches,":[221],"achieving":[222],"strong":[223],"correlations":[224],"between":[225],"scores":[229],"Python":[231],"3.9.":[232],"proposed":[234],"provides":[236],"foundation":[238],"real-time,":[240],"interpretable,":[241],"data-driven":[243]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-02-22T00:00:00"}
