乐胖代购免代理版

{"id":"https://openalex.org/W2978812234","doi":"https://doi.org/10.1016/j.procs.2019.08.142","title":"Gender Demography Classification on Instagram based on User\u2019s Comments Section","display_name":"Gender Demography Classification on Instagram based on User\u2019s Comments Section","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2978812234","doi":"https://doi.org/10.1016/j.procs.2019.08.142","mag":"2978812234"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2019.08.142","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.procs.2019.08.142","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004131222","display_name":"N. Reynaldo","orcid":null},"institutions":[{"id":"https://openalex.org/I166073570","display_name":"Binus University","ror":"https://ror.org/03zmf4s77","country_code":"ID","type":"funder","lineage":["https://openalex.org/I166073570"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"N. Reynaldo","raw_affiliation_strings":["Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia 11480"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia 11480","institution_ids":["https://openalex.org/I166073570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097841490","display_name":"Goenawan","orcid":null},"institutions":[{"id":"https://openalex.org/I166073570","display_name":"Binus University","ror":"https://ror.org/03zmf4s77","country_code":"ID","type":"funder","lineage":["https://openalex.org/I166073570"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"None Goenawan","raw_affiliation_strings":["Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia 11480"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia 11480","institution_ids":["https://openalex.org/I166073570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073555554","display_name":"William Chanrico","orcid":null},"institutions":[{"id":"https://openalex.org/I166073570","display_name":"Binus University","ror":"https://ror.org/03zmf4s77","country_code":"ID","type":"funder","lineage":["https://openalex.org/I166073570"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"William Chanrico","raw_affiliation_strings":["Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia 11480"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia 11480","institution_ids":["https://openalex.org/I166073570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080650089","display_name":"Derwin Suhartono","orcid":"https://orcid.org/0000-0002-3271-5874"},"institutions":[{"id":"https://openalex.org/I166073570","display_name":"Binus University","ror":"https://ror.org/03zmf4s77","country_code":"ID","type":"funder","lineage":["https://openalex.org/I166073570"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Derwin Suhartono","raw_affiliation_strings":["Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia 11480"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia 11480","institution_ids":["https://openalex.org/I166073570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044988004","display_name":"Fredy Purnomo","orcid":null},"institutions":[{"id":"https://openalex.org/I166073570","display_name":"Binus University","ror":"https://ror.org/03zmf4s77","country_code":"ID","type":"funder","lineage":["https://openalex.org/I166073570"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Fredy Purnomo","raw_affiliation_strings":["Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia 11480"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia 11480","institution_ids":["https://openalex.org/I166073570"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080650089"],"corresponding_institution_ids":["https://openalex.org/I166073570"],"apc_list":null,"apc_paid":null,"fwci":0.563,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.762195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":80,"max":82},"biblio":{"volume":"157","issue":null,"first_page":"64","last_page":"71"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9978,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9978,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9875,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9782,"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/adaboost","display_name":"AdaBoost","score":0.7287745},{"id":"https://openalex.org/keywords/section","display_name":"Section (typography)","score":0.41129214}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.8283381},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.7287745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.72421914},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.67756796},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.64762324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.59190893},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5773727},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.51082253},{"id":"https://openalex.org/C2780129039","wikidata":"https://www.wikidata.org/wiki/Q1931107","display_name":"Section (typography)","level":2,"score":0.41129214},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23171625},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2019.08.142","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2019.08.142","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.51}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":6,"referenced_works":["https://openalex.org/W179179905","https://openalex.org/W184758014","https://openalex.org/W2145073242","https://openalex.org/W2295598076","https://openalex.org/W2463280635","https://openalex.org/W2726091402"],"related_works":["https://openalex.org/W590015412","https://openalex.org/W4249026152","https://openalex.org/W4244585678","https://openalex.org/W4211021113","https://openalex.org/W3033216196","https://openalex.org/W2909241626","https://openalex.org/W2890304493","https://openalex.org/W2566696415","https://openalex.org/W2560853036","https://openalex.org/W1563787543"],"abstract_inverted_index":{"Social":[0],"media":[1,17,34,51,134],"has":[2,129],"become":[3],"an":[4],"integral":[5],"part":[6],"of":[7,24,49],"the":[8,22],"society.":[9],"This":[10,41,115],"created":[11],"a":[12,44,73],"rising":[13],"demand":[14],"on":[15,54,57,92,96,99,103,112,124],"social":[16,33,50,133],"marketing.":[18,135],"New":[19],"breakthroughs":[20],"in":[21],"field":[23],"artificial":[25],"intelligence":[26],"have":[27],"enabled":[28],"brand":[29],"owners":[30],"to":[31,46,89,131],"boost":[32],"marketing":[35],"by":[36,60],"knowing":[37],"their":[38],"target's":[39],"demography.":[40],"study":[42],"presents":[43],"model":[45,81],"predict":[47],"gender":[48],"users":[52],"based":[53],"comments":[55,86],"section":[56],"Instagram":[58],"profile":[59],"using":[61],"AdaBoost,":[62],"XGBoost,":[63,97],"Support":[64],"Vector":[65],"Machine,":[66],"and":[67,76,87,101,128],"Naive":[68,93,119],"Bayes":[69,120],"Classifier":[70],"combined":[71],"with":[72,84],"grid":[74],"search":[75],"K-":[77],"Fold":[78],"validation.":[79],"The":[80],"was":[82],"trained":[83],"40,000":[85],"managed":[88],"get":[90],"78.64%":[91],"Bayes,":[94],"73.41%":[95],"74.56%":[98],"AdaBoost":[100],"76.07%":[102],"SVM":[104],"which":[105],"are":[106],"generally":[107],"higher":[108,122],"than":[109],"related":[110],"studies":[111],"this":[113],"subject.":[114],"result":[116],"shows":[117],"that":[118],"produces":[121],"accuracy":[123],"short":[125],"text":[126],"classification":[127],"possibilities":[130],"help":[132]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2978812234","counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-03-21T17:08:08.288263","created_date":"2019-10-10"}