乐胖代购免代理版

{"id":"https://openalex.org/W2781104201","doi":"https://doi.org/10.1109/eisic.2017.32","title":"Author Profiling in the Wild","display_name":"Author Profiling in the Wild","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2781104201","doi":"https://doi.org/10.1109/eisic.2017.32","mag":"2781104201"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/eisic.2017.32","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5031470842","display_name":"Lisa Kaati","orcid":"https://orcid.org/0000-0002-3724-7504"},"institutions":[{"id":"https://openalex.org/I1291458624","display_name":"Swedish Defence Research Agency","ror":"https://ror.org/0470cgs30","country_code":"SE","type":"government","lineage":["https://openalex.org/I1291458624"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Lisa Kaati","raw_affiliation_strings":["FOI, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"FOI, Stockholm, Sweden","institution_ids":["https://openalex.org/I1291458624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021941671","display_name":"Elias Lundeqvist","orcid":null},"institutions":[{"id":"https://openalex.org/I1291458624","display_name":"Swedish Defence Research Agency","ror":"https://ror.org/0470cgs30","country_code":"SE","type":"government","lineage":["https://openalex.org/I1291458624"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Elias Lundeqvist","raw_affiliation_strings":["FOI, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"FOI, Stockholm, Sweden","institution_ids":["https://openalex.org/I1291458624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078668864","display_name":"Amendra Shrestha","orcid":"https://orcid.org/0000-0001-6553-4319"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Amendra Shrestha","raw_affiliation_strings":["Uppsala University, Uppsala, Sweden"],"affiliations":[{"raw_affiliation_string":"Uppsala University, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102956598","display_name":"Maria Svensson","orcid":"https://orcid.org/0000-0001-5719-6444"},"institutions":[{"id":"https://openalex.org/I1291458624","display_name":"Swedish Defence Research Agency","ror":"https://ror.org/0470cgs30","country_code":"SE","type":"government","lineage":["https://openalex.org/I1291458624"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Maria Svensson","raw_affiliation_strings":["FOI, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"FOI, Stockholm, Sweden","institution_ids":["https://openalex.org/I1291458624"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":5,"citation_normalized_percentile":{"value":0.587691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":79,"max":81},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":1.0,"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":1.0,"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":0.9991,"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":0.9972,"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/profiling","display_name":"Profiling (computer programming)","score":0.9463893},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.44408914}],"concepts":[{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.9463893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.76162475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48004615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46347794},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4441174},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.44408914},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42556512},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4065948},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32321757},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06418955},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/eisic.2017.32","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.71,"display_name":"Quality education","id":"https://metadata.un.org/sdg/4"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":14,"referenced_works":["https://openalex.org/W155912292","https://openalex.org/W1757621696","https://openalex.org/W1879650102","https://openalex.org/W1977127823","https://openalex.org/W1984010941","https://openalex.org/W2025403586","https://openalex.org/W2033444463","https://openalex.org/W2106510630","https://openalex.org/W2140907953","https://openalex.org/W2276407171","https://openalex.org/W2396869395","https://openalex.org/W2553454742","https://openalex.org/W2584687869","https://openalex.org/W2963462252"],"related_works":["https://openalex.org/W4323546569","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W4246751904","https://openalex.org/W4224009465","https://openalex.org/W2961085424","https://openalex.org/W2606679797","https://openalex.org/W2348361596","https://openalex.org/W2145546708","https://openalex.org/W1602801198"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,62],"use":[4,27],"machine":[5],"learning":[6],"for":[7,122],"profiling":[8,55,117],"authors":[9],"of":[10,23,94],"online":[11],"textual":[12],"media.":[13],"We":[14,26,47],"are":[15,35,44,48,72],"interested":[16,49],"in":[17,50,57],"determining":[18],"the":[19,33,58,92,95],"gender":[20],"and":[21,40,60,130],"age":[22],"an":[24],"author.":[25],"two":[28],"different":[29,68,83,128],"approaches,":[30],"one":[31,41],"where":[32,42],"features":[34,43],"learned":[36],"from":[37],"raw":[38],"data":[39],"manually":[45],"extracted.":[46],"understanding":[51],"how":[52],"well":[53],"author":[54,116],"works":[56],"wild":[59],"therefore":[61],"have":[63],"tested":[64],"our":[65],"models":[66,80,109],"on":[67,89,126],"domains":[69],"than":[70],"they":[71,86],"trained":[73,88],"on.":[74],"Our":[75],"results":[76,98],"show":[77,99],"that":[78,100],"applying":[79],"to":[81,104],"a":[82],"domain":[84,110,133],"then":[85],"were":[87],"significantly":[90],"decreases":[91],"performance":[93],"models.":[96],"The":[97],"more":[101],"efforts":[102],"need":[103],"be":[105,119],"put":[106],"into":[107],"making":[108],"independent":[111,134],"if":[112],"techniques":[113],"such":[114],"as":[115],"should":[118],"used":[120],"operationally,":[121],"example":[123],"by":[124,131],"training":[125],"many":[127],"datasets":[129],"using":[132],"features.":[135]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2781104201","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2024-12-08T08:31:57.500930","created_date":"2018-01-05"}