{"id":"https://openalex.org/W7225735329","doi":"https://doi.org/10.62411/jcta.18001","title":"An Interpretable Neuro-Fuzzy Framework for Mental Health Indicator Classification with Contextual Representation and Metaheuristic Optimization","display_name":"An Interpretable Neuro-Fuzzy Framework for Mental Health Indicator Classification with Contextual Representation and Metaheuristic Optimization","publication_year":2026,"publication_date":"2026-11-10","ids":{"openalex":"https://openalex.org/W7225735329","doi":"https://doi.org/10.62411/jcta.18001"},"language":"en","primary_location":{"id":"doi:10.62411/jcta.18001","doi":"https://doi.org/10.62411/jcta.18001","is_oa":true,"landing_page_url":"https://doi.org/10.62411/jcta.18001","pdf_url":"https://publikasi.dinus.ac.id/jcta/article/download/18001/6519","source":{"id":"https://openalex.org/S4387292246","display_name":"Journal of Computing Theories and Applications","issn_l":"3024-9104","issn":["3024-9104"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315221","host_organization_name":"Nuswantoro Dian University","host_organization_lineage":["https://openalex.org/P4310315221"],"host_organization_lineage_names":["Nuswantoro Dian University"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing Theories and Applications","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://publikasi.dinus.ac.id/jcta/article/download/18001/6519","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030662581","display_name":"Haeni Budiati","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210134113","display_name":"Universitas Kristen Immanuel","ror":"https://ror.org/03mry3754","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210134113"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Haeni Budiati","raw_affiliation_strings":["Universitas Kristen Immanuel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Kristen Immanuel","institution_ids":["https://openalex.org/I4210134113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043397417","display_name":"Sunneng Sandino Berutu","orcid":"https://orcid.org/0000-0002-3607-2722","observed_orcids":["https://orcid.org/0000-0002-3607-2722"]},"institutions":[{"id":"https://openalex.org/I4405259982","display_name":"Universitas Duta Bangsa","ror":"https://ror.org/030zqsq57","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405259982"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Sunneng Sandino Berutu","raw_affiliation_strings":["Universitas Duta Bangsa Surakarta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Duta Bangsa Surakarta","institution_ids":["https://openalex.org/I4405259982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006159735","display_name":"Agustinus Rudatyo Himamunanto","orcid":"https://orcid.org/0000-0003-4868-0917","observed_orcids":["https://orcid.org/0000-0003-4868-0917"]},"institutions":[{"id":"https://openalex.org/I4210134113","display_name":"Universitas Kristen Immanuel","ror":"https://ror.org/03mry3754","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210134113"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Agustinus Rudatyo Himamunanto","raw_affiliation_strings":["Universitas Kristen Immanuel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Kristen Immanuel","institution_ids":["https://openalex.org/I4210134113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109396072","display_name":"Faisal Yahya","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210134113","display_name":"Universitas Kristen Immanuel","ror":"https://ror.org/03mry3754","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210134113"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Faisal Yahya","raw_affiliation_strings":["Universitas Kristen Immanuel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Kristen Immanuel","institution_ids":["https://openalex.org/I4210134113"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056061503","display_name":"Mosiur Rahaman","orcid":"https://orcid.org/0000-0003-0521-2080","observed_orcids":["https://orcid.org/0000-0003-0521-2080","https://orcid.org/0009-0002-4306-0356"]},"institutions":[{"id":"https://openalex.org/I60837268","display_name":"King Mongkut's University of Technology Thonburi","ror":"https://ror.org/0057ax056","country_code":"TH","type":"education","lineage":["https://openalex.org/I60837268"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Mosiur Rahaman","raw_affiliation_strings":["King Mongkut\u2019s University of Technology Thonburi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Mongkut\u2019s University of Technology Thonburi","institution_ids":["https://openalex.org/I60837268"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":"2","first_page":"749","last_page":"768"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.002099999925121665,"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":0.0017000000225380063,"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":[],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8547999858856201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6485000252723694},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6342999935150146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5627999901771545},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5357000231742859},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.491100013256073},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4869000017642975},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.48339998722076416},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47920000553131104},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4146000146865845},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.4090000092983246},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37439998984336853},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3635999858379364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3538999855518341},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.31029999256134033},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.2944999933242798},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2937000095844269},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.288100004196167},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.26440000534057617}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.62411/jcta.18001","doi":"https://doi.org/10.62411/jcta.18001","is_oa":true,"landing_page_url":"https://doi.org/10.62411/jcta.18001","pdf_url":"https://publikasi.dinus.ac.id/jcta/article/download/18001/6519","source":{"id":"https://openalex.org/S4387292246","display_name":"Journal of Computing Theories and Applications","issn_l":"3024-9104","issn":["3024-9104"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315221","host_organization_name":"Nuswantoro Dian University","host_organization_lineage":["https://openalex.org/P4310315221"],"host_organization_lineage_names":["Nuswantoro Dian University"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing Theories and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.62411/jcta.18001","doi":"https://doi.org/10.62411/jcta.18001","is_oa":true,"landing_page_url":"https://doi.org/10.62411/jcta.18001","pdf_url":"https://publikasi.dinus.ac.id/jcta/article/download/18001/6519","source":{"id":"https://openalex.org/S4387292246","display_name":"Journal of Computing Theories and Applications","issn_l":"3024-9104","issn":["3024-9104"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315221","host_organization_name":"Nuswantoro Dian University","host_organization_lineage":["https://openalex.org/P4310315221"],"host_organization_lineage_names":["Nuswantoro Dian University"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing Theories and Applications","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/W7225735329.pdf","grobid_xml":"https://content.openalex.org/works/W7225735329.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W2927148761","https://openalex.org/W3010735201","https://openalex.org/W3084522097","https://openalex.org/W3090391500","https://openalex.org/W3182546273","https://openalex.org/W4210677910","https://openalex.org/W4221032146","https://openalex.org/W4221127682","https://openalex.org/W4223610593","https://openalex.org/W4229049385","https://openalex.org/W4286206444","https://openalex.org/W4297399257","https://openalex.org/W4306173662","https://openalex.org/W4309294116","https://openalex.org/W4312214845","https://openalex.org/W4377104501","https://openalex.org/W4378420875","https://openalex.org/W4386293471","https://openalex.org/W4386783371","https://openalex.org/W4387063529","https://openalex.org/W4387730094","https://openalex.org/W4388833473","https://openalex.org/W4392013006","https://openalex.org/W4392971656","https://openalex.org/W4395044001","https://openalex.org/W4396242195","https://openalex.org/W4399212077","https://openalex.org/W4402301607","https://openalex.org/W4402938061","https://openalex.org/W4403285404","https://openalex.org/W4409054913","https://openalex.org/W4409762135","https://openalex.org/W7160101497","https://openalex.org/W7160377891","https://openalex.org/W7160521820","https://openalex.org/W7165463930"],"related_works":[],"abstract_inverted_index":{"Social":[0],"media":[1],"text":[2,25,31],"provides":[3],"valuable":[4],"information":[5],"for":[6,208],"analyzing":[7],"mental":[8],"health-related":[9],"expressions.":[10],"However,":[11],"contextual":[12,93],"language":[13],"variation,":[14],"class":[15],"imbalance,":[16],"and":[17,36,58,75,85,92,102,113,126,134,157,165,183,212],"limited":[18],"model":[19],"interpretability":[20],"remain":[21],"important":[22],"challenges":[23],"in":[24,214],"classification.":[26],"This":[27],"study":[28],"evaluates":[29],"different":[30],"representations,":[32],"class-imbalance":[33],"handling":[34],"strategies,":[35],"metaheuristic":[37],"optimization":[38],"within":[39],"an":[40],"Adaptive":[41],"Neuro-Fuzzy":[42],"Inference":[43],"System":[44],"(ANFIS)":[45],"framework.":[46],"A":[47],"total":[48],"of":[49,145,180],"19,429":[50],"Indonesian-language":[51],"posts":[52],"were":[53,175],"retained":[54],"after":[55],"duplicate":[56],"removal":[57],"label-conflict":[59],"adjudication.":[60],"The":[61,87],"dataset":[62],"was":[63,120],"partitioned":[64],"using":[65,95],"a":[66,129,205],"fixed":[67],"group-aware":[68],"split":[69],"into":[70],"13,600":[71],"training,":[72],"2,914":[73],"validation,":[74],"2,915":[76],"test":[77,143,172],"records,":[78],"covering":[79],"four":[80],"categories:":[81],"Distress,":[82],"Crisis,":[83],"Protective,":[84],"Situational.":[86],"experiments":[88],"examined":[89],"lexical-statistical,":[90],"distributed-semantic,":[91],"representations":[94],"Plain":[96,152],"ANFIS,":[97],"class-balanced":[98],"focal":[99],"ANFIS":[100,153],"(CBF-ANFIS),":[101],"its":[103],"metaheuristic-optimized":[104],"variants":[105],"based":[106],"on":[107],"the":[108,141,201,215],"Whale":[109],"Optimization":[110],"Algorithm":[111,116],"(WOA)":[112],"Crow":[114],"Search":[115],"(CSA).":[117],"Model":[118],"performance":[119],"evaluated":[121],"across":[122],"three":[123],"random":[124],"seeds":[125],"compared":[127],"with":[128],"TF-IDF-based":[130],"Logistic":[131],"Regression":[132],"baseline":[133],"direct":[135,194,225],"IndoBERT":[136,139,195],"fine-tuning.":[137],"Direct":[138],"achieved":[140],"highest":[142],"Macro-F1":[144,173],"0.7685":[146],"\u00b1":[147,155,161],"0.0046,":[148],"followed":[149],"by":[150],"preliminary":[151],"(0.6942":[154],"0.0011)":[156],"final":[158],"CBF-ANFIS":[159,181],"(0.6897":[160],"0.0054).":[162],"Although":[163],"WOA":[164],"CSA":[166],"improved":[167],"validation":[168],"Macro-F1,":[169],"their":[170],"mean":[171],"scores":[174],"slightly":[176],"lower":[177],"than":[178],"that":[179],"(0.6890":[182],"0.6859":[184],"versus":[185],"0.6897,":[186],"respectively),":[187],"indicating":[188],"no":[189],"consistent":[190],"generalization":[191],"benefit.":[192],"Overall,":[193],"provided":[196],"superior":[197],"classification":[198],"performance,":[199],"whereas":[200],"neuro-fuzzy":[202],"framework":[203],"offered":[204],"structured":[206],"mechanism":[207],"tracing":[209],"rule":[210],"activation":[211],"inference":[213],"latent":[216],"feature":[217],"space.":[218],"Nevertheless,":[219],"these":[220],"rules":[221],"do":[222],"not":[223],"provide":[224],"linguistic":[226],"or":[227],"clinical":[228],"interpretations.":[229]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2026-11-11T00:00:00"}