{"id":"https://openalex.org/W4387544573","doi":"https://doi.org/10.32520/stmsi.v12i2.2518","title":"Sentiment Analysis on WeTV App Reviews on Google Play Store Using NBC and SVM Algorithms","display_name":"Sentiment Analysis on WeTV App Reviews on Google Play Store Using NBC and SVM Algorithms","publication_year":2023,"publication_date":"2023-05-31","ids":{"openalex":"https://openalex.org/W4387544573","doi":"https://doi.org/10.32520/stmsi.v12i2.2518"},"language":"en","primary_location":{"id":"doi:10.32520/stmsi.v12i2.2518","doi":"https://doi.org/10.32520/stmsi.v12i2.2518","is_oa":true,"landing_page_url":"http://dx.doi.org/10.32520/stmsi.v12i2.2518","pdf_url":"https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/download/2518/555","source":{"id":"https://openalex.org/S4210217954","display_name":"SISTEMASI","issn_l":"2302-8149","issn":["2302-8149","2540-9719"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/I4210120560","host_organization_name":"Universitas Islam Indragiri","host_organization_lineage":["https://openalex.org/I4210120560"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SISTEMASI","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/download/2518/555","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093046006","display_name":"Petronilia Palinggik Allorerung","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4394709208","display_name":"Universitas DIPA Makassar","ror":"https://ror.org/03493zm15","country_code":"ID","type":"education","lineage":["https://openalex.org/I4394709208"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Petronilia Palinggik Allorerung","raw_affiliation_strings":["Universitas Dipa Makassar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Dipa Makassar","institution_ids":["https://openalex.org/I4394709208"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110718851","display_name":"Rismayani Rismayani","orcid":"https://orcid.org/0000-0002-9716-2131","observed_orcids":["https://orcid.org/0000-0002-9716-2131"]},"institutions":[{"id":"https://openalex.org/I4394709208","display_name":"Universitas DIPA Makassar","ror":"https://ror.org/03493zm15","country_code":"ID","type":"education","lineage":["https://openalex.org/I4394709208"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Rismayani Rismayani","raw_affiliation_strings":["Universitas Dipa Makassar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Dipa Makassar","institution_ids":["https://openalex.org/I4394709208"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4394709208"],"apc_list":null,"apc_paid":null,"fwci":0.1386,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.38786661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"12","issue":"2","first_page":"404","last_page":"404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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":0.0,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.0,"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":0.9980000257492065},{"id":"https://openalex.org/keywords/app-reviews","display_name":"app reviews","score":0.7580000162124634},{"id":"https://openalex.org/keywords/google-play","display_name":"Google Play Store","score":0.8659999966621399},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.8600000143051147},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9950000047683716},{"id":"https://openalex.org/keywords/positive-and-negative-sentiment-classification","display_name":"positive and negative sentiment classification","score":0.7490000128746033},{"id":"https://openalex.org/keywords/algorithm-comparison","display_name":"algorithm comparison","score":0.7540000081062317},{"id":"https://openalex.org/keywords/covid-19-lockdown","display_name":"COVID-19 lockdown","score":0.9150000214576721}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8144912719726562},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7926065921783447},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7558956146240234},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7452999353408813},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.552127480506897},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5191227793693542},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5168445706367493},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.5098956823348999},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4623514413833618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45851847529411316},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.43072837591171265},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4141850471496582},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3759017586708069},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36416831612586975},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3219871520996094},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.32520/stmsi.v12i2.2518","doi":"https://doi.org/10.32520/stmsi.v12i2.2518","is_oa":true,"landing_page_url":"http://dx.doi.org/10.32520/stmsi.v12i2.2518","pdf_url":"https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/download/2518/555","source":{"id":"https://openalex.org/S4210217954","display_name":"SISTEMASI","issn_l":"2302-8149","issn":["2302-8149","2540-9719"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/I4210120560","host_organization_name":"Universitas Islam Indragiri","host_organization_lineage":["https://openalex.org/I4210120560"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SISTEMASI","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:be6a5ef94e03405084d17a6122859aaf","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/be6a5ef94e03405084d17a6122859aaf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sistemasi: Jurnal Sistem Informasi, Vol 12, Iss 2, Pp 404-414 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.32520/stmsi.v12i2.2518","doi":"https://doi.org/10.32520/stmsi.v12i2.2518","is_oa":true,"landing_page_url":"http://dx.doi.org/10.32520/stmsi.v12i2.2518","pdf_url":"https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/download/2518/555","source":{"id":"https://openalex.org/S4210217954","display_name":"SISTEMASI","issn_l":"2302-8149","issn":["2302-8149","2540-9719"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/I4210120560","host_organization_name":"Universitas Islam Indragiri","host_organization_lineage":["https://openalex.org/I4210120560"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SISTEMASI","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387544573.pdf","grobid_xml":"https://content.openalex.org/works/W4387544573.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W2953324401","https://openalex.org/W3081427519","https://openalex.org/W3128116487","https://openalex.org/W3133537205","https://openalex.org/W3183692110","https://openalex.org/W3197405323","https://openalex.org/W3206227002","https://openalex.org/W3214517894","https://openalex.org/W4225071435","https://openalex.org/W4283362852","https://openalex.org/W4288074402","https://openalex.org/W4293213442","https://openalex.org/W4295598647","https://openalex.org/W4296835514","https://openalex.org/W4312712716","https://openalex.org/W4312824901","https://openalex.org/W4388882255","https://openalex.org/W4391938374"],"related_works":["https://openalex.org/W4311611896","https://openalex.org/W4383561656","https://openalex.org/W4404356537","https://openalex.org/W4382466561","https://openalex.org/W4383561638","https://openalex.org/W4392842788","https://openalex.org/W3115795751","https://openalex.org/W4414619665","https://openalex.org/W4383561696","https://openalex.org/W4412672404"],"abstract_inverted_index":{"Since":[0],"the":[1,20,26,30,35,47,53,59,74,91,106,117,128,169,172,190,195],"Covid-19":[2,23],"outbreak":[3],"hit":[4],"Indonesia,":[5],"all":[6],"community":[7,27],"activities":[8,33],"have":[9],"become":[10],"very":[11],"limited.":[12],"The":[13,76,175],"government's":[14],"decision":[15],"regarding":[16],"PPKM":[17],"to":[18,28,167],"reduce":[19,29],"level":[21,31],"of":[22,32,100,130,171],"cases":[24],"forced":[25],"outside":[34],"home":[36],"including":[37],"work.":[38],"One":[39],"activity":[40],"that":[41,84,112,189],"has":[42,85,110],"recently":[43],"been":[44],"popular":[45],"with":[46,64,202],"public":[48],"is":[49,81,179],"watching":[50],"movies":[51],"through":[52],"online":[54,78],"streaming":[55,79],"service":[56,80,96],"available":[57],"on":[58,90,122,127],"Google":[60,92],"Play":[61,93],"Store.":[62,94],"Applications":[63],"high":[65,86],"total":[66,176],"downloads":[67,87],"and":[68,88,132,150,159,207],"ratings":[69,89],"show":[70],"people's":[71],"interest":[72],"in":[73,116,199],"application.":[75],"WeTV":[77,107,136],"an":[82],"application":[83,108,137],"This":[95],"provides":[97],"various":[98,103],"types":[99],"content":[101],"from":[102,119,135,156],"countries.":[104],"However,":[105],"also":[109,165],"drawbacks":[111],"can":[113],"be":[114],"seen":[115],"reviews":[118],"users.":[120,138],"Based":[121],"this,":[123],"research":[124],"was":[125,187,194],"conducted":[126],"classification":[129,142,192,197],"positive":[131,158],"negative":[133,160],"sentiments":[134],"There":[139],"are":[140],"two":[141,173],"algorithms":[143],"implemented,":[144],"namely":[145],"Na\u00efve":[146],"Bayes":[147],"Classifier":[148],"(NBC)":[149],"Support":[151],"Vector":[152],"Machine":[153],"(SVM).":[154],"Apart":[155],"classifying":[157],"reviews,":[161],"this":[162,200],"sentiment":[163,184],"analysis":[164],"aims":[166],"compare":[168],"performance":[170],"algorithms.":[174],"data":[177],"used":[178],"100":[180],"data.":[181],"After":[182],"conducting":[183],"analysis,":[185],"it":[186],"concluded":[188],"SVM":[191],"method":[193,198],"best":[196],"study":[201],"80.00%":[203,205,208],"accuracy,":[204],"precision,":[206],"recall.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-10-12T00:00:00"}
