{"id":"https://openalex.org/W3126829033","doi":"https://doi.org/10.1145/3443279.3443300","title":"Age Inference on Twitter using SAGE and TF-IGM","display_name":"Age Inference on Twitter using SAGE and TF-IGM","publication_year":2020,"publication_date":"2020-12-18","ids":{"openalex":"https://openalex.org/W3126829033","doi":"https://doi.org/10.1145/3443279.3443300","mag":"3126829033"},"language":"en","primary_location":{"id":"doi:10.1145/3443279.3443300","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3443279.3443300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Natural Language Processing and Information Retrieval","raw_type":"proceedings-article"},"type":"article","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/A5046412226","display_name":"Joran Cornelisse","orcid":null},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Joran Cornelisse","raw_affiliation_strings":["University of Amsterdam, Sciencepark, Amsterdam"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Sciencepark, Amsterdam","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091365220","display_name":"Reshmi Gopalakrishna Pillai","orcid":null},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Reshmi Gopalakrishna Pillai","raw_affiliation_strings":["University of Amsterdam, Sciencepark, Amsterdam"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Sciencepark, Amsterdam","institution_ids":["https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046412226"],"corresponding_institution_ids":["https://openalex.org/I887064364"],"apc_list":null,"apc_paid":null,"fwci":0.8619,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78139232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"24","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9987999796867371,"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":0.9987999796867371,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.994700014591217,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9926999807357788,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7809122800827026},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7696834802627563},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7299298048019409},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.57471764087677},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5562286972999573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48100408911705017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36285609006881714},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36179932951927185},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35081571340560913},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33388957381248474},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3038235902786255},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10249286890029907}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7809122800827026},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7696834802627563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7299298048019409},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.57471764087677},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5562286972999573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48100408911705017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36285609006881714},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36179932951927185},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35081571340560913},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33388957381248474},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3038235902786255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10249286890029907},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3443279.3443300","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3443279.3443300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Natural Language Processing and Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W123107930","https://openalex.org/W797227816","https://openalex.org/W1893888233","https://openalex.org/W2053968437","https://openalex.org/W2089295221","https://openalex.org/W2094553285","https://openalex.org/W2119595472","https://openalex.org/W2154819126","https://openalex.org/W2165279024","https://openalex.org/W2170161597","https://openalex.org/W2250553926","https://openalex.org/W2251434949","https://openalex.org/W2309222574","https://openalex.org/W2492229595","https://openalex.org/W2520488855","https://openalex.org/W2593266007","https://openalex.org/W2751888965","https://openalex.org/W2884896142","https://openalex.org/W2908313251","https://openalex.org/W2963296228","https://openalex.org/W2987280934","https://openalex.org/W4235486249","https://openalex.org/W6600376888","https://openalex.org/W6644738686","https://openalex.org/W6673862439","https://openalex.org/W6684152816","https://openalex.org/W6693457383","https://openalex.org/W6726238692","https://openalex.org/W6728976345"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2055243143","https://openalex.org/W2129863591","https://openalex.org/W1596769710","https://openalex.org/W2923497059","https://openalex.org/W2978363435","https://openalex.org/W4321636575","https://openalex.org/W4312622923","https://openalex.org/W1986418932","https://openalex.org/W2357796999"],"abstract_inverted_index":{"Social":[0],"media":[1],"is":[2,34,45],"increasingly":[3],"influential":[4],"in":[5],"day-to-day":[6],"life.":[7],"People":[8],"are":[9],"more":[10],"than":[11],"ever":[12],"sharing,":[13],"posting,":[14],"liking,":[15],"and":[16,83,116],"following":[17],"different":[18],"activities":[19],"on":[20,30,92,96,122],"disparate":[21],"social":[22,123],"media.":[23,124],"Deriving":[24],"specific":[25],"attributes":[26],"of":[27,51,73,87,109],"users":[28,88],"based":[29],"their":[31,93],"online":[32],"behavior":[33],"a":[35,42,106],"growing":[36],"research":[37],"field.":[38],"In":[39],"this":[40],"study,":[41],"novel":[43],"methodology":[44],"proposed":[46],"for":[47,119],"determining":[48],"the":[49,71,80],"age":[50,58],"Twitter":[52,97],"users.":[53],"We":[54,65],"classify":[55],"three":[56],"separate":[57],"groups,":[59],"namely,":[60],"18--24,":[61],"25--54,":[62],"55":[63],">.":[64],"compute":[66],"numerous":[67],"linguistic":[68],"features":[69],"from":[70],"tweets":[72],"users,":[74],"obtain":[75],"significant":[76],"terms":[77],"extracted":[78],"by":[79,89],"SAGE":[81],"algorithms,":[82],"retrieve":[84],"relevant":[85],"meta-data":[86],"extracting":[90],"information":[91],"followed":[94],"interests":[95],"using":[98],"TF-IGM.":[99],"The":[100],"final":[101],"logistic":[102],"regression":[103],"model":[104],"obtains":[105],"macro":[107],"F1-score":[108],"78%.":[110],"This":[111],"way,":[112],"effectively":[113],"combining":[114],"NLP":[115],"IR":[117],"techniques":[118],"attribute":[120],"inference":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}