{"id":"https://openalex.org/W4396791129","doi":"https://doi.org/10.1109/aims61812.2024.10512480","title":"Mental Health Detection with TF-IDF Feature Extraction","display_name":"Mental Health Detection with TF-IDF Feature Extraction","publication_year":2024,"publication_date":"2024-02-21","ids":{"openalex":"https://openalex.org/W4396791129","doi":"https://doi.org/10.1109/aims61812.2024.10512480"},"language":"en","primary_location":{"id":"doi:10.1109/aims61812.2024.10512480","doi":"https://doi.org/10.1109/aims61812.2024.10512480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aims61812.2024.10512480","pdf_url":null,"source":{"id":"https://openalex.org/S7407096941","display_name":"IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5057188994","display_name":"Dwi Remawati","orcid":"https://orcid.org/0009-0002-2051-0684","observed_orcids":["https://orcid.org/0009-0002-2051-0684"]},"institutions":[{"id":"https://openalex.org/I4405275961","display_name":"STMIK Jayakarta","ror":"https://ror.org/04kpkr630","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405275961"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Dwi Remawati","raw_affiliation_strings":["STMIK Sinar Nusantara, Surakarta, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STMIK Sinar Nusantara, Surakarta, Indonesia","institution_ids":["https://openalex.org/I4405275961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089820727","display_name":"Edi Noersasongko","orcid":"https://orcid.org/0009-0009-2880-8515","observed_orcids":["https://orcid.org/0009-0009-2880-8515","https://orcid.org/0000-0002-1305-4070"]},"institutions":[{"id":"https://openalex.org/I4210127958","display_name":"Universitas Dian Nuswantoro","ror":"https://ror.org/02csxcg02","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210127958"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Edi Noersasongko","raw_affiliation_strings":["Dian Nuswantoro University,Department of Informatics Engineering,Semarang,Indonesia","Department of Informatics Engineering, Dian Nuswantoro University, Semarang, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dian Nuswantoro University,Department of Informatics Engineering,Semarang,Indonesia","institution_ids":["https://openalex.org/I4210127958"]},{"raw_affiliation_string":"Department of Informatics Engineering, Dian Nuswantoro University, Semarang, Indonesia","institution_ids":["https://openalex.org/I4210127958"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073484265","display_name":"Aris Marjuni","orcid":"https://orcid.org/0000-0002-4072-3081","observed_orcids":["https://orcid.org/0000-0002-4072-3081"]},"institutions":[{"id":"https://openalex.org/I4210127958","display_name":"Universitas Dian Nuswantoro","ror":"https://ror.org/02csxcg02","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210127958"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Aris Marjuni","raw_affiliation_strings":["Dian Nuswantoro University,Department of Informatics Engineering,Semarang,Indonesia","Department of Informatics Engineering, Dian Nuswantoro University, Semarang, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dian Nuswantoro University,Department of Informatics Engineering,Semarang,Indonesia","institution_ids":["https://openalex.org/I4210127958"]},{"raw_affiliation_string":"Department of Informatics Engineering, Dian Nuswantoro University, Semarang, Indonesia","institution_ids":["https://openalex.org/I4210127958"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008423283","display_name":"Pujiono Pujiono","orcid":"https://orcid.org/0000-0002-9784-4941","observed_orcids":["https://orcid.org/0000-0002-9784-4941"]},"institutions":[{"id":"https://openalex.org/I4210127958","display_name":"Universitas Dian Nuswantoro","ror":"https://ror.org/02csxcg02","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210127958"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Pujiono","raw_affiliation_strings":["Dian Nuswantoro University,Department of Informatics Engineering,Semarang,Indonesia","Department of Informatics Engineering, Dian Nuswantoro University, Semarang, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dian Nuswantoro University,Department of Informatics Engineering,Semarang,Indonesia","institution_ids":["https://openalex.org/I4210127958"]},{"raw_affiliation_string":"Department of Informatics Engineering, Dian Nuswantoro University, Semarang, Indonesia","institution_ids":["https://openalex.org/I4210127958"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9098,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.91118354,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9976000189781189,"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":0.9976000189781189,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.0013000000035390258,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.0010000000474974513,"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/mental-health-detection","display_name":"mental health detection","score":0.9929999709129333},{"id":"https://openalex.org/keywords/stress-detection","display_name":"stress detection","score":0.7360000014305115},{"id":"https://openalex.org/keywords/twitter","display_name":"Twitter","score":0.7369999885559082},{"id":"https://openalex.org/keywords/social-media-text-analysis","display_name":"social media text analysis","score":0.8100000023841858},{"id":"https://openalex.org/keywords/tf-idf-feature-extraction","display_name":"TF-IDF feature extraction","score":0.9779999852180481},{"id":"https://openalex.org/keywords/text-classification","display_name":"text classification","score":0.8579999804496765},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9649999737739563},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":1.0},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":1.0}],"concepts":[{"id":"https://openalex.org/C81758059","wikidata":"https://www.wikidata.org/wiki/Q796584","display_name":"tf\u2013idf","level":3,"score":0.878192663192749},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7610620856285095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7195789813995361},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.70932537317276},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6978508830070496},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5865880250930786},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5346224904060364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4932658076286316},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48647400736808777},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4784250855445862},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.45110124349594116},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.443559467792511},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40469837188720703},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3824860155582428},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3798064887523651},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33103251457214355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1293649971485138},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aims61812.2024.10512480","doi":"https://doi.org/10.1109/aims61812.2024.10512480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aims61812.2024.10512480","pdf_url":null,"source":{"id":"https://openalex.org/S7407096941","display_name":"IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6240000128746033,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2750872979","https://openalex.org/W2808282688","https://openalex.org/W2946870453","https://openalex.org/W3033643657","https://openalex.org/W3082312505","https://openalex.org/W3189712965","https://openalex.org/W4280543685","https://openalex.org/W4285819053","https://openalex.org/W4293261951","https://openalex.org/W4361273489","https://openalex.org/W4362571107","https://openalex.org/W4375821637","https://openalex.org/W4381929042","https://openalex.org/W4383956813","https://openalex.org/W4385541881","https://openalex.org/W4385811978","https://openalex.org/W4386968945","https://openalex.org/W4387671676","https://openalex.org/W4389351706"],"related_works":["https://openalex.org/W4414615368","https://openalex.org/W4412452321","https://openalex.org/W4389273119","https://openalex.org/W4408033876","https://openalex.org/W4400579406","https://openalex.org/W7171511357","https://openalex.org/W3094828854","https://openalex.org/W4405633594","https://openalex.org/W4387064617","https://openalex.org/W7220749529"],"abstract_inverted_index":{"The":[0,139,158],"extensive":[1],"use":[2],"of":[3,69,74,90,149],"social":[4],"media,":[5],"particularly":[6],"Twitter,":[7],"provides":[8],"a":[9,24,46,75],"data":[10,65,93,110],"source":[11],"for":[12,127],"post-analysis":[13],"on":[14,111],"the":[15,20,67,72],"platform.":[16],"Many":[17],"writings":[18],"describe":[19],"condition":[21],"as":[22],"if":[23],"person":[25],"is":[26,45,97],"under":[27],"stress.":[28],"Stress":[29],"can":[30,37,82],"happen":[31],"to":[32,39,48,107],"anyone,":[33],"and":[34,136,154],"prolonged":[35],"stress":[36],"lead":[38],"mental":[40,112],"health":[41,113],"problems.":[42],"Text":[43],"analysis":[44],"method":[47,89],"extract":[49],"information":[50],"derived":[51],"from":[52],"unstructured":[53],"data,":[54],"namely":[55,129],"text":[56,92,109],"data.":[57],"In":[58],"doing":[59],"their":[60],"job,":[61],"computers":[62],"cannot":[63],"process":[64],"in":[66,85],"form":[68,96],"text,":[70],"so":[71],"weighting":[73],"word":[76],"becomes":[77],"very":[78],"important,":[79],"where":[80],"it":[81],"represent":[83],"words":[84],"numerical":[86,95],"form.":[87],"One":[88],"reproducing":[91],"into":[94],"Term":[98],"Frequency":[99,102],"Inverse":[100],"Document":[101,119],"(TF-IDF).":[103],"This":[104],"study":[105],"aims":[106],"analyze":[108],"using":[114],"TF-":[115],"IDF":[116],"(Term":[117],"Frequency-Inverse":[118],"Frequency)":[120],"feature":[121],"extraction":[122],"with":[123],"three":[124],"learning":[125],"models":[126],"classification,":[128],"SVM":[130,144,163],"(Support":[131],"Vector":[132],"Machine),":[133],"Random":[134,151],"Forest,":[135],"Decision":[137,155],"Tree.":[138],"classification":[140,169],"results":[141,160],"show":[142,161],"that":[143,162],"has":[145,164],"an":[146],"accuracy":[147],"rate":[148],"89%,":[150],"Forest":[152],"88%,":[153],"Tree":[156],"83%.":[157],"test":[159],"better":[165],"performance":[166],"than":[167],"other":[168],"models.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2024-05-11T00:00:00"}