{"id":"https://openalex.org/W2817093340","doi":"https://doi.org/10.1145/3200947.3201013","title":"Intrinsic Author Verification Using Topic Modeling","display_name":"Intrinsic Author Verification Using Topic Modeling","publication_year":2018,"publication_date":"2018-07-06","ids":{"openalex":"https://openalex.org/W2817093340","doi":"https://doi.org/10.1145/3200947.3201013","mag":"2817093340"},"language":"en","primary_location":{"id":"doi:10.1145/3200947.3201013","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3200947.3201013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th Hellenic Conference on Artificial Intelligence","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/A5021476808","display_name":"Nektaria Potha","orcid":null},"institutions":[{"id":"https://openalex.org/I98805295","display_name":"University of the Aegean","ror":"https://ror.org/03zsp3p94","country_code":"GR","type":"education","lineage":["https://openalex.org/I98805295"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Nektaria Potha","raw_affiliation_strings":["University of the Aegean, Karlovassi, Greece"],"affiliations":[{"raw_affiliation_string":"University of the Aegean, Karlovassi, Greece","institution_ids":["https://openalex.org/I98805295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061737423","display_name":"Efstathios Stamatatos","orcid":"https://orcid.org/0000-0002-1336-9128"},"institutions":[{"id":"https://openalex.org/I98805295","display_name":"University of the Aegean","ror":"https://ror.org/03zsp3p94","country_code":"GR","type":"education","lineage":["https://openalex.org/I98805295"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Efstathios Stamatatos","raw_affiliation_strings":["University of the Aegean, Karlovassi, Greece"],"affiliations":[{"raw_affiliation_string":"University of the Aegean, Karlovassi, Greece","institution_ids":["https://openalex.org/I98805295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021476808"],"corresponding_institution_ids":["https://openalex.org/I98805295"],"apc_list":null,"apc_paid":null,"fwci":2.769,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.92451688,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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/T10028","display_name":"Topic Modeling","score":0.983299970626831,"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":0.9702000021934509,"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/computer-science","display_name":"Computer science","score":0.8493453860282898},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.7746288776397705},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6615877151489258},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6585146188735962},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.59874027967453},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5691710710525513},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5449498891830444},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5405555963516235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5116713047027588},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4800582826137543},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4655531048774719},{"id":"https://openalex.org/keywords/thematic-map","display_name":"Thematic map","score":0.4284594655036926},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1436203420162201},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07751163840293884}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8493453860282898},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.7746288776397705},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6615877151489258},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6585146188735962},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.59874027967453},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5691710710525513},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5449498891830444},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5405555963516235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5116713047027588},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4800582826137543},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4655531048774719},{"id":"https://openalex.org/C93692415","wikidata":"https://www.wikidata.org/wiki/Q1502030","display_name":"Thematic map","level":2,"score":0.4284594655036926},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1436203420162201},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07751163840293884},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3200947.3201013","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3200947.3201013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th Hellenic Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W1964642694","https://openalex.org/W2012385888","https://openalex.org/W2041425534","https://openalex.org/W2049633694","https://openalex.org/W2094737584","https://openalex.org/W2103577799","https://openalex.org/W2111290841","https://openalex.org/W2147152072","https://openalex.org/W2158295279","https://openalex.org/W2158698691","https://openalex.org/W2165431734","https://openalex.org/W2168204821","https://openalex.org/W2187238335","https://openalex.org/W2250418537","https://openalex.org/W2324347541","https://openalex.org/W2400327244","https://openalex.org/W2407669783","https://openalex.org/W2736774079","https://openalex.org/W2771472444","https://openalex.org/W2895715183","https://openalex.org/W2915304535","https://openalex.org/W3004022289","https://openalex.org/W3017984758","https://openalex.org/W4206031910"],"related_works":["https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W4293863151","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W3005513013"],"abstract_inverted_index":{"Author":[0],"verification":[1,29,98],"is":[2,32,42,65],"a":[3],"fundamental":[4],"task":[5,57],"in":[6,14,58,76],"authorship":[7,94],"analysis":[8],"and":[9,16,44,69,100,109,117],"associated":[10],"with":[11,123],"important":[12],"applications":[13],"humanities":[15],"forensics.":[17],"In":[18],"this":[19,77],"paper,":[20],"we":[21,61],"propose":[22],"the":[23,54,105,124],"use":[24],"of":[25,92],"an":[26],"intrinsic":[27],"profile-based":[28],"method":[30],"that":[31,63],"based":[33],"on":[34,48],"latent":[35,73],"semantic":[36],"indexing":[37],"(LSI).":[38],"Our":[39],"proposed":[40,125],"approach":[41],"easy-to-follow":[43],"language":[45],"independent.":[46],"Based":[47],"experiments":[49],"using":[50],"benchmark":[51],"corpora":[52],"from":[53],"PAN":[55],"shared":[56],"author":[59],"verification,":[60],"demonstrate":[62],"LSI":[64,80],"both":[66],"more":[67,70],"effective":[68],"stable":[71],"than":[72],"Dirichlet":[74],"allocation":[75],"task.":[78],"Moreover,":[79],"models":[81],"are":[82,95],"able":[83],"to":[84,104,120],"outperform":[85],"existing":[86],"approaches":[87],"especially":[88],"when":[89],"multiple":[90],"texts":[91],"known":[93],"available":[96],"per":[97],"instance":[99],"all":[101],"documents":[102],"belong":[103],"same":[106],"thematic":[107],"area":[108],"genre.":[110],"We":[111],"also":[112],"study":[113],"several":[114],"feature":[115],"types":[116],"similarity":[118],"measures":[119],"be":[121],"combined":[122],"topic":[126],"models.":[127]},"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":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
