{"id":"https://openalex.org/W4200586451","doi":"https://doi.org/10.1109/iwbis53353.2021.9631859","title":"Sentiment Analysis of Visitor Reviews on Hotel In West Sumatera","display_name":"Sentiment Analysis of Visitor Reviews on Hotel In West Sumatera","publication_year":2021,"publication_date":"2021-10-23","ids":{"openalex":"https://openalex.org/W4200586451","doi":"https://doi.org/10.1109/iwbis53353.2021.9631859"},"language":"en","primary_location":{"id":"doi:10.1109/iwbis53353.2021.9631859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwbis53353.2021.9631859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 6th International Workshop on Big Data and Information Security (IWBIS)","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/A5021034890","display_name":"Sandriyana Kusuma Wardani","orcid":null},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Sandriyana Kusuma Wardani","raw_affiliation_strings":["Faculty of Computer Science, Universitas Indonesia, Jakarta, Indonesia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Universitas Indonesia, Jakarta, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079525306","display_name":"Yova Ruldeviyani","orcid":"https://orcid.org/0000-0002-3051-7540"},"institutions":[{"id":"https://openalex.org/I29617571","display_name":"University of Indonesia","ror":"https://ror.org/0116zj450","country_code":"ID","type":"education","lineage":["https://openalex.org/I29617571"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Yova Ruldeviyani","raw_affiliation_strings":["Faculty of Computer Science, Universitas Indonesia, Jakarta, Indonesia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Universitas Indonesia, Jakarta, Indonesia","institution_ids":["https://openalex.org/I29617571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021034890"],"corresponding_institution_ids":["https://openalex.org/I29617571"],"apc_list":null,"apc_paid":null,"fwci":0.726,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8112313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14216","display_name":"Multimedia Learning Systems","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9700999855995178,"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/visitor-pattern","display_name":"Visitor pattern","score":0.7835620641708374},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7646280527114868},{"id":"https://openalex.org/keywords/reservation","display_name":"Reservation","score":0.7557850480079651},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.629917562007904},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5861752033233643},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5434910655021667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5035011172294617},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4767005145549774},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.4334985017776489},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.42377564311027527},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3323918879032135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30644291639328003},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.24516600370407104},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18714675307273865},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.161953866481781}],"concepts":[{"id":"https://openalex.org/C48947383","wikidata":"https://www.wikidata.org/wiki/Q830719","display_name":"Visitor pattern","level":2,"score":0.7835620641708374},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7646280527114868},{"id":"https://openalex.org/C2777632111","wikidata":"https://www.wikidata.org/wiki/Q1937518","display_name":"Reservation","level":2,"score":0.7557850480079651},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.629917562007904},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5861752033233643},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5434910655021667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5035011172294617},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4767005145549774},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.4334985017776489},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.42377564311027527},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3323918879032135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30644291639328003},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24516600370407104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18714675307273865},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.161953866481781},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwbis53353.2021.9631859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwbis53353.2021.9631859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 6th International Workshop on Big Data and Information Security (IWBIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W631304350","https://openalex.org/W2048175373","https://openalex.org/W2149833141","https://openalex.org/W2539778612","https://openalex.org/W2626185405","https://openalex.org/W2749564305","https://openalex.org/W2750573714","https://openalex.org/W2768656950","https://openalex.org/W2774008574","https://openalex.org/W2783135344","https://openalex.org/W2808561287","https://openalex.org/W2906110516","https://openalex.org/W2907272997","https://openalex.org/W2908445743","https://openalex.org/W2939291878","https://openalex.org/W2941343883","https://openalex.org/W2991073716","https://openalex.org/W3006142736","https://openalex.org/W3021329432","https://openalex.org/W3028973493","https://openalex.org/W3047722645","https://openalex.org/W3130248360","https://openalex.org/W4236110830","https://openalex.org/W4244851097","https://openalex.org/W6662779780","https://openalex.org/W6729042179","https://openalex.org/W6739685451","https://openalex.org/W6743550052","https://openalex.org/W6752585882","https://openalex.org/W6761774814","https://openalex.org/W6876326547"],"related_works":["https://openalex.org/W3021501837","https://openalex.org/W4389954502","https://openalex.org/W2771255398","https://openalex.org/W2930428186","https://openalex.org/W3200027047","https://openalex.org/W4385770464","https://openalex.org/W4224262160","https://openalex.org/W3120363735","https://openalex.org/W4214820172","https://openalex.org/W2394323384"],"abstract_inverted_index":{"Hotel":[0,192],"XYZ":[1,193],"is":[2,30,75,95,119],"one":[3,27],"of":[4,28,58,139,178,201],"the":[5,11,32,39,55,66,70,76,86,169,195],"hotels":[6],"in":[7,116,163],"Padang":[8],"City":[9],"and":[10,109,122,141],"only":[12],"five-star":[13],"hotel.":[14,59],"Now,":[15],"visitors":[16],"can":[17,42,172,188],"make":[18],"hotel":[19,46,61,71,88],"reservation":[20],"online":[21,24],"easily":[22],"from":[23,31,38,102,204],"travel":[25],"sites,":[26],"them":[29],"TripAdvisor":[33,196],"site.":[34],"If":[35],"was":[36],"viewed":[37],"site,":[40,92],"it":[41,52,81,94,123,171,187],"be":[43,125,173,189],"seen":[44],"that":[45,80,114,175,191],"has":[47],"low":[48],"rating":[49,72],"fairly":[50],"if":[51],"compared":[53,126],"with":[54,127],"other":[56,128],"type":[57],"So,":[60],"management":[62],"needs":[63,82],"to":[64,68,83],"arrange":[65],"strategy":[67],"increase":[69],"again.":[73],"This":[74],"basic":[77],"reason":[78],"so":[79],"evaluate":[84],"how":[85],"actual":[87],"market":[89],"on":[90,168,194],"this":[91,117],"whether":[93],"good":[96],"or":[97],"bad":[98],"using":[99,133,144],"sentiment":[100,180,203],"analysis":[101],"visitor":[103],"reviews":[104],"data":[105],"by":[106],"classifying":[107],"positive":[108,165,179,202],"negative":[110,184],"sentiments.":[111],"Classification":[112],"method":[113],"used":[115],"study":[118],"decision":[120,145],"tree":[121,146],"will":[124],"method,":[129],"namely":[130],"na\u00efve":[131],"bayes":[132,152],"k-fold":[134],"cross":[135],"validation.":[136],"Calculation":[137],"results":[138,149,177],"accuracy":[140],"precision":[142],"value":[143,159],"give":[147],"greater":[148,182],"than":[150,183],"naive":[151],"while":[153],"both":[154],"methods":[155],"have":[156],"same":[157],"recall":[158],"which":[160],"indicate":[161],"reliability":[162],"predicting":[164],"data.":[166],"Based":[167],"value,":[170],"determined":[174],"classification":[176],"are":[181],"sentiment.":[185],"Thus,":[186],"concluded":[190],"site":[197],"get":[198],"a":[199],"lot":[200],"visitors.":[205]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}