{"id":"https://openalex.org/W4404072412","doi":"https://doi.org/10.3390/info15110705","title":"Exploring Sentiment Analysis for the Indonesian Presidential Election Through Online Reviews Using Multi-Label Classification with a Deep Learning Algorithm","display_name":"Exploring Sentiment Analysis for the Indonesian Presidential Election Through Online Reviews Using Multi-Label Classification with a Deep Learning Algorithm","publication_year":2024,"publication_date":"2024-11-05","ids":{"openalex":"https://openalex.org/W4404072412","doi":"https://doi.org/10.3390/info15110705"},"language":"en","primary_location":{"id":"doi:10.3390/info15110705","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info15110705","pdf_url":"https://www.mdpi.com/2078-2489/15/11/705/pdf?version=1730796758","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/15/11/705/pdf?version=1730796758","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106620896","display_name":"Ahmad Nahid Ma\u2019aly","orcid":null},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ahmad Nahid Ma\u2019aly","raw_affiliation_strings":["School of Industrial Engineering, Telkom University, Bandung 40257, West Java, Indonesia"],"affiliations":[{"raw_affiliation_string":"School of Industrial Engineering, Telkom University, Bandung 40257, West Java, Indonesia","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073542723","display_name":"Dita Pramesti","orcid":"https://orcid.org/0000-0002-8784-5377"},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Dita Pramesti","raw_affiliation_strings":["School of Industrial Engineering, Telkom University, Bandung 40257, West Java, Indonesia"],"affiliations":[{"raw_affiliation_string":"School of Industrial Engineering, Telkom University, Bandung 40257, West Java, Indonesia","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107013663","display_name":"Ariadani Dwi Fathurahman","orcid":null},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ariadani Dwi Fathurahman","raw_affiliation_strings":["School of Industrial Engineering, Telkom University, Bandung 40257, West Java, Indonesia"],"affiliations":[{"raw_affiliation_string":"School of Industrial Engineering, Telkom University, Bandung 40257, West Java, Indonesia","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004438607","display_name":"Hanif Fakhrurroja","orcid":"https://orcid.org/0000-0002-2483-251X"},"institutions":[{"id":"https://openalex.org/I4387154144","display_name":"National Research and Innovation Agency","ror":"https://ror.org/02hmjzt55","country_code":"ID","type":"government","lineage":["https://openalex.org/I4387154144"]},{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Hanif Fakhrurroja","raw_affiliation_strings":["Research Center for Smart Mechatronics, National Research and Innovation Agency, Bandung 40135, West Java, Indonesia","School of Industrial Engineering, Telkom University, Bandung 40257, West Java, Indonesia"],"affiliations":[{"raw_affiliation_string":"Research Center for Smart Mechatronics, National Research and Innovation Agency, Bandung 40135, West Java, Indonesia","institution_ids":["https://openalex.org/I4387154144"]},{"raw_affiliation_string":"School of Industrial Engineering, Telkom University, Bandung 40257, West Java, Indonesia","institution_ids":["https://openalex.org/I862893732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073542723"],"corresponding_institution_ids":["https://openalex.org/I862893732"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":5.4641,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.96364367,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"15","issue":"11","first_page":"705","last_page":"705"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9882000088691711,"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":0.9706000089645386,"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/indonesian","display_name":"Indonesian","score":0.8498352766036987},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5928293466567993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5901570320129395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5477293729782104},{"id":"https://openalex.org/keywords/presidential-election","display_name":"Presidential election","score":0.479094535112381},{"id":"https://openalex.org/keywords/presidential-system","display_name":"Presidential system","score":0.4310634732246399},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42606645822525024},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3606678247451782},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3289608657360077},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.19162577390670776},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.0746401846408844}],"concepts":[{"id":"https://openalex.org/C2779207338","wikidata":"https://www.wikidata.org/wiki/Q9240","display_name":"Indonesian","level":2,"score":0.8498352766036987},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5928293466567993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5901570320129395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5477293729782104},{"id":"https://openalex.org/C2776129789","wikidata":"https://www.wikidata.org/wiki/Q858439","display_name":"Presidential election","level":3,"score":0.479094535112381},{"id":"https://openalex.org/C197487636","wikidata":"https://www.wikidata.org/wiki/Q49892","display_name":"Presidential system","level":3,"score":0.4310634732246399},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42606645822525024},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3606678247451782},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3289608657360077},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.19162577390670776},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0746401846408844},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/info15110705","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info15110705","pdf_url":"https://www.mdpi.com/2078-2489/15/11/705/pdf?version=1730796758","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8158d18e2ca94426b541678a3a5ed487","is_oa":true,"landing_page_url":"https://doaj.org/article/8158d18e2ca94426b541678a3a5ed487","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 15, Iss 11, p 705 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/info15110705","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info15110705","pdf_url":"https://www.mdpi.com/2078-2489/15/11/705/pdf?version=1730796758","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320330150","display_name":"Universitas Telkom","ror":"https://ror.org/0004wsx81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404072412.pdf","grobid_xml":"https://content.openalex.org/works/W4404072412.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2019759670","https://openalex.org/W2064230935","https://openalex.org/W2064675550","https://openalex.org/W2117835933","https://openalex.org/W2618843390","https://openalex.org/W2750872979","https://openalex.org/W2779766358","https://openalex.org/W2781900029","https://openalex.org/W2786485441","https://openalex.org/W2790634708","https://openalex.org/W2900517206","https://openalex.org/W2900595193","https://openalex.org/W2903101678","https://openalex.org/W2904592940","https://openalex.org/W2921907837","https://openalex.org/W2929127016","https://openalex.org/W2963712766","https://openalex.org/W3080359515","https://openalex.org/W3111988323","https://openalex.org/W3113605268","https://openalex.org/W3130255873","https://openalex.org/W3160733676","https://openalex.org/W4226403674","https://openalex.org/W4285059003","https://openalex.org/W4295296320","https://openalex.org/W4303945906","https://openalex.org/W4312415095","https://openalex.org/W4318670207","https://openalex.org/W4323520701","https://openalex.org/W4401255702","https://openalex.org/W4401718527","https://openalex.org/W4402263608","https://openalex.org/W6839423184"],"related_works":["https://openalex.org/W4242621793","https://openalex.org/W648807974","https://openalex.org/W4229837155","https://openalex.org/W4236086937","https://openalex.org/W2294302573","https://openalex.org/W4312419881","https://openalex.org/W2086953810","https://openalex.org/W2512763533","https://openalex.org/W2606962271","https://openalex.org/W4248715694"],"abstract_inverted_index":{"Presidential":[0],"elections":[1],"are":[2],"an":[3,208,220],"important":[4],"political":[5,262],"event":[6],"that":[7,64,199],"often":[8],"trigger":[9],"intense":[10],"debate.":[11],"With":[12],"more":[13,97],"than":[14],"139":[15],"million":[16],"users,":[17],"YouTube":[18,47,140],"serves":[19],"as":[20],"a":[21,40,57,96,125,133,175,214,230],"significant":[22],"platform":[23],"for":[24,39,261],"understanding":[25,99],"public":[26,101,254],"opinion":[27],"through":[28],"sentiment":[29,42,102,225,239,255,286],"analysis.":[30,287],"This":[31,130,234],"study":[32,71,94,131],"aimed":[33],"to":[34,50,61,158,223,237,269],"implement":[35],"deep":[36,163],"learning":[37,164],"techniques":[38],"multi-label":[41,238,285],"analysis":[43,151,240],"of":[44,100,113,211,217,244,272],"comments":[45,73,156],"on":[46,89,155],"videos":[48],"related":[49,157],"the":[51,90,144,188,200,204,242,245,251,270,281],"2024":[52,246],"Indonesian":[53,247],"presidential":[54,104,159,248],"election.":[55],"Offering":[56],"fresh":[58],"perspective":[59],"compared":[60],"previous":[62],"research":[63,267],"primarily":[65],"employed":[66],"traditional":[67],"classification":[68],"methods,":[69],"this":[70,93,266],"classifies":[72],"into":[74,253],"eight":[75],"emotional":[76,91],"labels:":[77],"anger,":[78],"anticipation,":[79],"disgust,":[80],"joy,":[81],"fear,":[82],"sadness,":[83],"surprise,":[84],"and":[85,122,127,146,174,180,191,213,229,276],"trust.":[86],"By":[87],"focusing":[88],"spectrum,":[92],"provides":[95],"nuanced":[98],"towards":[103,256],"candidates.":[105],"The":[106,150,195],"CRISP-DM":[107],"method":[108],"is":[109,152],"applied,":[110],"encompassing":[111],"stages":[112],"business":[114],"understanding,":[115,117],"data":[116,118,277],"preparation,":[119],"modeling,":[120],"evaluation,":[121],"deployment,":[123],"ensuring":[124],"systematic":[126],"comprehensive":[128],"approach.":[129],"employs":[132],"dataset":[134],"comprising":[135],"32,000":[136],"comments,":[137],"obtained":[138],"via":[139],"Data":[141],"API,":[142],"from":[143],"KPU":[145],"Najwa":[147],"Shihab":[148],"channels.":[149],"specifically":[153],"centered":[154],"candidate":[160],"debates.":[161],"Three":[162],"models\u2014Convolutional":[165],"Neural":[166],"Network":[167],"(CNN),":[168],"Bidirectional":[169],"Long":[170],"Short-Term":[171],"Memory":[172],"(Bi-LSTM),":[173],"hybrid":[176],"model":[177,202],"combining":[178],"CNN":[179],"Bi-LSTM\u2014are":[181],"assessed":[182],"using":[183],"confusion":[184],"matrix,":[185],"Area":[186],"Under":[187],"Curve":[189],"(AUC),":[190],"Hamming":[192,215],"loss":[193,216],"metrics.":[194],"evaluation":[196],"results":[197],"demonstrate":[198],"Bi-LSTM":[201],"achieved":[203],"highest":[205],"accuracy":[206],"with":[207,226,284],"AUC":[209],"value":[210],"0.91":[212],"0.08,":[218],"indicating":[219],"excellent":[221],"ability":[222],"classify":[224],"high":[227],"precision":[228],"low":[231],"error":[232],"rate.":[233],"innovative":[235],"approach":[236],"in":[241],"context":[243],"election":[249],"expands":[250],"insights":[252],"candidates,":[257],"offering":[258],"valuable":[259],"implications":[260],"campaign":[263],"strategies.":[264],"Additionally,":[265],"contributes":[268],"fields":[271],"natural":[273],"language":[274],"processing":[275],"mining":[278],"by":[279],"addressing":[280],"challenges":[282],"associated":[283]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
