{"id":"https://openalex.org/W2753894810","doi":"https://doi.org/10.26615/978-954-452-049-6_086","title":"Identifying the Authors\u2019 National Variety of English in Social Media Texts","display_name":"Identifying the Authors\u2019 National Variety of English in Social Media Texts","publication_year":2017,"publication_date":"2017-11-10","ids":{"openalex":"https://openalex.org/W2753894810","doi":"https://doi.org/10.26615/978-954-452-049-6_086","mag":"2753894810"},"language":"en","primary_location":{"id":"doi:10.26615/978-954-452-049-6_086","is_oa":true,"landing_page_url":"http://doi.org/10.26615/978-954-452-049-6_086","pdf_url":"https://doi.org/10.26615/978-954-452-049-6_086","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.26615/978-954-452-049-6_086","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064551041","display_name":"Vasiliki Simaki","orcid":"https://orcid.org/0000-0002-8998-3618"},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]},{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Vasiliki Simaki","raw_affiliation_strings":["Centre for Languages and Literature, Lund University, 221 00 Lund, Sweden","Department of Computer Science, Linnaeus University, 351 95 Vxj, Sweden","Department of Computer Science, Linnaeus University, 351 95 V\u00e4xj\u00f6, Sweden"],"affiliations":[{"raw_affiliation_string":"Centre for Languages and Literature, Lund University, 221 00 Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]},{"raw_affiliation_string":"Department of Computer Science, Linnaeus University, 351 95 Vxj, Sweden","institution_ids":["https://openalex.org/I223464139"]},{"raw_affiliation_string":"Department of Computer Science, Linnaeus University, 351 95 V\u00e4xj\u00f6, Sweden","institution_ids":["https://openalex.org/I223464139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091069598","display_name":"Panagiotis Simakis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Panagiotis Simakis","raw_affiliation_strings":["XPLAIN, 153 42 Athens, Greece"],"affiliations":[{"raw_affiliation_string":"XPLAIN, 153 42 Athens, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"XPLAIN, Athens, Greece","orcid":null},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"XPLAIN, Athens, Greece","raw_affiliation_strings":["Centre for Languages and Literature, Lund University, 221 00 Lund, Sweden"],"affiliations":[{"raw_affiliation_string":"Centre for Languages and Literature, Lund University, 221 00 Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014858200","display_name":"Carita Paradis","orcid":"https://orcid.org/0000-0002-7240-9003"},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]},{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Carita Paradis","raw_affiliation_strings":["Centre for Languages and Literature, Lund University, 221 00 Lund, Sweden","Department of Computer Science, Linnaeus University, 351 95 V\u00e4xj\u00f6, Sweden"],"affiliations":[{"raw_affiliation_string":"Centre for Languages and Literature, Lund University, 221 00 Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]},{"raw_affiliation_string":"Department of Computer Science, Linnaeus University, 351 95 V\u00e4xj\u00f6, Sweden","institution_ids":["https://openalex.org/I223464139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006966951","display_name":"Andreas Kerren","orcid":"https://orcid.org/0000-0002-0519-2537"},"institutions":[{"id":"https://openalex.org/I223464139","display_name":"Linnaeus University","ror":"https://ror.org/00j9qag85","country_code":"SE","type":"education","lineage":["https://openalex.org/I223464139"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Andreas Kerren","raw_affiliation_strings":["Department of Computer Science, Linnaeus University, 351 95 Vxj, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Linnaeus University, 351 95 Vxj, Sweden","institution_ids":["https://openalex.org/I223464139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5064551041"],"corresponding_institution_ids":["https://openalex.org/I187531555","https://openalex.org/I223464139"],"apc_list":null,"apc_paid":null,"fwci":1.6617,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88258486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"671","last_page":"678"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9998999834060669,"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":0.9998999834060669,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9890999794006348,"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":0.9793000221252441,"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/variety","display_name":"Variety (cybernetics)","score":0.9244792461395264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7197109460830688},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.713702917098999},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6500742435455322},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6199153661727905},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6101658344268799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6072129011154175},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5873143076896667},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5456051826477051},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5133201479911804},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4865947961807251},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3652404248714447},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.273928165435791},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23871830105781555}],"concepts":[{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.9244792461395264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7197109460830688},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.713702917098999},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6500742435455322},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6199153661727905},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6101658344268799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6072129011154175},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5873143076896667},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5456051826477051},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5133201479911804},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4865947961807251},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3652404248714447},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.273928165435791},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23871830105781555},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.26615/978-954-452-049-6_086","is_oa":true,"landing_page_url":"http://doi.org/10.26615/978-954-452-049-6_086","pdf_url":"https://doi.org/10.26615/978-954-452-049-6_086","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.lancs.ac.uk:124811","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.lancs.ac.uk/id/eprint/124811/1/ranlp2017.pdf","source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:lup.lub.lu.se:d6aee74b-cf44-485e-aaaf-9c7f9b1947d9","is_oa":false,"landing_page_url":"https://lup.lub.lu.se/record/d6aee74b-cf44-485e-aaaf-9c7f9b1947d9","pdf_url":null,"source":{"id":"https://openalex.org/S4306400536","display_name":"Lund University Publications (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.26615/978-954-452-049-6_086","is_oa":true,"landing_page_url":"http://doi.org/10.26615/978-954-452-049-6_086","pdf_url":"https://doi.org/10.26615/978-954-452-049-6_086","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6700000166893005,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G8080935424","display_name":null,"funder_award_id":"unknown","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"},{"id":"https://openalex.org/G886784488","display_name":null,"funder_award_id":"2012-5659","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"}],"funders":[{"id":"https://openalex.org/F4320322581","display_name":"Vetenskapsr\u00e5det","ror":"https://ror.org/03zttf063"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2753894810.pdf","grobid_xml":"https://content.openalex.org/works/W2753894810.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W180097926","https://openalex.org/W244375653","https://openalex.org/W630987043","https://openalex.org/W1506915175","https://openalex.org/W1570448133","https://openalex.org/W1583700199","https://openalex.org/W1757621696","https://openalex.org/W1761765343","https://openalex.org/W1808644423","https://openalex.org/W1981745473","https://openalex.org/W1988906723","https://openalex.org/W2032793012","https://openalex.org/W2033444463","https://openalex.org/W2043976122","https://openalex.org/W2054151502","https://openalex.org/W2066259047","https://openalex.org/W2072828027","https://openalex.org/W2076330531","https://openalex.org/W2109883364","https://openalex.org/W2110302976","https://openalex.org/W2140432583","https://openalex.org/W2151194837","https://openalex.org/W2208893997","https://openalex.org/W2250174871","https://openalex.org/W2251303571","https://openalex.org/W2251433042","https://openalex.org/W2252025714","https://openalex.org/W2288361411","https://openalex.org/W2317645432","https://openalex.org/W2528810362","https://openalex.org/W2554824981","https://openalex.org/W2558223934","https://openalex.org/W2575864632","https://openalex.org/W2618204048","https://openalex.org/W2649092520","https://openalex.org/W2752530998","https://openalex.org/W2791641132","https://openalex.org/W3151491250","https://openalex.org/W4211134195","https://openalex.org/W4250089123"],"related_works":["https://openalex.org/W2140536630","https://openalex.org/W3195005284","https://openalex.org/W2391730868","https://openalex.org/W4394659737","https://openalex.org/W2759814045","https://openalex.org/W2118055728","https://openalex.org/W4399756845","https://openalex.org/W2736760277","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"In":[0,21],"this":[1],"paper,":[2],"we":[3,86],"present":[4],"a":[5,88],"study":[6],"for":[7,81],"the":[8,29,36,65,82,97,114,117],"identification":[9],"of":[10,14,116],"authors'":[11],"national":[12,37],"variety":[13,39],"English":[15,38,73],"in":[16],"texts":[17],"from":[18,23,71],"social":[19,31],"media.":[20],"data":[22],"Facebook":[24],"and":[25,35,68,85,113],"Twitter,":[26],"information":[27],"about":[28],"author's":[30],"profile":[32],"is":[33,49],"annotated,":[34],"(US,":[40],"UK,":[41],"AUS,":[42],"CAN,":[43],"NNS)":[44],"that":[45],"each":[46,72],"author":[47],"uses":[48],"attributed.":[50],"We":[51,75],"tested":[52],"four":[53],"feature":[54,89],"types:":[55],"formal":[56],"linguistic":[57],"features,":[58,60],"POS":[59],"lexicon-based":[61],"features":[62,70,101,119],"related":[63],"to":[64,106],"different":[66],"varieties,":[67],"databased":[69],"variety.":[74],"used":[76],"various":[77],"machine":[78],"learning":[79],"algorithms":[80],"classification":[83,93],"experiments,":[84],"implemented":[87],"selection":[90],"process.":[91],"The":[92,108],"accuracy":[94],"achieved,":[95],"when":[96],"31":[98],"highest":[99],"ranked":[100,118],"were":[102],"used,":[103],"was":[104],"up":[105],"77.32%.":[107],"experimental":[109],"results":[110],"are":[111],"evaluated,":[112],"efficacy":[115],"discussed.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}
