{"id":"https://openalex.org/W2593431358","doi":null,"title":"Methods for Detection of Word Usage over Time","display_name":"Methods for Detection of Word Usage over Time","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2593431358","mag":"2593431358"},"language":"en","primary_location":{"id":"mag:2593431358","doi":null,"is_oa":false,"landing_page_url":"http://nlp.fi.muni.cz/raslan/2013/paper11.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306525350","display_name":"RASLAN","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"RASLAN","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5052959874","display_name":"Vojt\u011bch Kov\u00e1\u0159","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vojt\u011bch Kov\u00e1\u0159","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005818410","display_name":"Ond\u0159ej Herman","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ond\u0159ej Herman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12377","display_name":"Digital Humanities and Scholarship","score":0.3244999945163727,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12377","display_name":"Digital Humanities and Scholarship","score":0.3244999945163727,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.2434999942779541,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.1534000039100647,"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/historical-linguistics","display_name":"historical linguistics","score":0.5370000004768372},{"id":"https://openalex.org/keywords/natural-language-corpora","display_name":"natural language corpora","score":0.7680000066757202},{"id":"https://openalex.org/keywords/time-series-analysis","display_name":"time series analysis","score":0.6480000019073486},{"id":"https://openalex.org/keywords/robust-regression","display_name":"robust regression","score":0.8980000019073486},{"id":"https://openalex.org/keywords/ordinary-least-squares","display_name":"ordinary least squares","score":0.7900000214576721},{"id":"https://openalex.org/keywords/change-detection","display_name":"change detection","score":0.5320000052452087},{"id":"https://openalex.org/keywords/corpus-linguistics","display_name":"corpus linguistics","score":0.5120000243186951}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7861288785934448},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7532774209976196},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6313046813011169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6155295968055725},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5875308513641357},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5161405801773071},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23737439513206482},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11050552129745483},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2593431358","doi":null,"is_oa":false,"landing_page_url":"http://nlp.fi.muni.cz/raslan/2013/paper11.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306525350","display_name":"RASLAN","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"RASLAN","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W803413940","https://openalex.org/W1556442714","https://openalex.org/W1892641965","https://openalex.org/W2058148593","https://openalex.org/W2068039897","https://openalex.org/W2070337735","https://openalex.org/W2093281931","https://openalex.org/W2129249398","https://openalex.org/W2327408069","https://openalex.org/W3136345023"],"related_works":["https://openalex.org/W2594415247","https://openalex.org/W4306408560","https://openalex.org/W2608193188","https://openalex.org/W2952375406","https://openalex.org/W7054874498","https://openalex.org/W2148763605","https://openalex.org/W194528118","https://openalex.org/W6968618750","https://openalex.org/W2215253484","https://openalex.org/W2221730367"],"abstract_inverted_index":{"From":[0],"a":[1],"natural":[2,40],"language":[3,41],"corpus,":[4],"word":[5],"usage":[6],"data":[7],"over":[8],"time":[9],"can\nbe":[10],"extracted.":[11],"To":[12],"detect":[13],"and":[14,32],"quantify":[15],"change":[16],"in":[17],"this":[18,25],"data,\nautomatic":[19],"procedures":[20],"can":[21],"be":[22],"employed.":[23],"In":[24],"work,":[26],"I":[27],"describe\nthe":[28],"application":[29],"of":[30],"ordinary":[31],"robust":[33],"regression":[34],"methods":[35],"to\ntime":[36],"series":[37],"extracted":[38],"from":[39],"corpora.":[42]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2017-03-16T00:00:00"}