{"id":"https://openalex.org/W2520458445","doi":null,"title":"Multiple Correspondence Analysis as Heuristic Tool to Unveil Confounding Variables in Corpus Linguistics","display_name":"Multiple Correspondence Analysis as Heuristic Tool to Unveil Confounding Variables in Corpus Linguistics","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2520458445","mag":"2520458445"},"language":"en","primary_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/392367","doi":null,"is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/392367","pdf_url":"https://lirias.kuleuven.be/bitstream/123456789/392367/2/Tummers%2c%20Jose%20et%20al.%20-%20Multiple%20Correspondence%20Analysis.pdf","source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on the Statistical Analysis of Textual Data, Li\u00e8ge, 11-13 June 2012","raw_type":"info:eu-repo/semantics/conferenceObject"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/bitstream/123456789/392367/2/Tummers%2c%20Jose%20et%20al.%20-%20Multiple%20Correspondence%20Analysis.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038915762","display_name":"Jos\u00e9 Tummers","orcid":"https://orcid.org/0000-0002-4093-1534","observed_orcids":["https://orcid.org/0000-0002-4093-1534"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Tummers","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4093-1534","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048483716","display_name":"Dirk Speelman","orcid":"https://orcid.org/0000-0003-1561-1851","observed_orcids":["https://orcid.org/0000-0003-1561-1851"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dirk Speelman","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1561-1851","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5066176620","display_name":"Dirk Geeraerts","orcid":"https://orcid.org/0000-0001-6350-0588","observed_orcids":["https://orcid.org/0000-0001-6350-0588"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dirk Geeraerts","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-6350-0588","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":true,"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":87,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"923","last_page":"936"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.3935999870300293,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.3935999870300293,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10366","display_name":"Discourse Analysis in Language Studies","score":0.2328999936580658,"subfield":{"id":"https://openalex.org/subfields/3310","display_name":"Linguistics and Language"},"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.12210000306367874,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/confounding-variables","display_name":"confounding variables","score":0.9070000052452087},{"id":"https://openalex.org/keywords/multiple-correspondence-analysis","display_name":"multiple correspondence analysis","score":0.972000002861023},{"id":"https://openalex.org/keywords/corpus-linguistics","display_name":"corpus linguistics","score":0.7229999899864197},{"id":"https://openalex.org/keywords/co-occurrence-patterns","display_name":"co-occurrence patterns","score":0.7379999756813049},{"id":"https://openalex.org/keywords/categorical-explanatory-variables","display_name":"categorical explanatory variables","score":0.8790000081062317},{"id":"https://openalex.org/keywords/latent-confounders","display_name":"latent confounders","score":0.8259999752044678}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.784389853477478},{"id":"https://openalex.org/C77350462","wikidata":"https://www.wikidata.org/wiki/Q1125472","display_name":"Confounding","level":2,"score":0.7600163221359253},{"id":"https://openalex.org/C2780012671","wikidata":"https://www.wikidata.org/wiki/Q1343870","display_name":"Corollary","level":2,"score":0.5504112839698792},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.518235445022583},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4829375147819519},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.43849942088127136},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3789312243461609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3738550543785095},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3730838894844055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3579065203666687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3576418161392212},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3063146471977234},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.14371711015701294},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/392367","doi":null,"is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/392367","pdf_url":"https://lirias.kuleuven.be/bitstream/123456789/392367/2/Tummers%2c%20Jose%20et%20al.%20-%20Multiple%20Correspondence%20Analysis.pdf","source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on the Statistical Analysis of Textual Data, Li\u00e8ge, 11-13 June 2012","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.658.735","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.658.735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://lexicometrica.univ-paris3.fr/jadt/jadt2012/Communications/Tummers%2C+Jose+et+al.+-+Multiple+Correspondence+Analysis.pdf","raw_type":"text"},{"id":"mag:2520458445","doi":null,"is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/bitstream/123456789/392367/2/Tummers%2C+Jose+et+al.+-+Multiple+Correspondence+Analysis.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/392367","doi":null,"is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/392367","pdf_url":"https://lirias.kuleuven.be/bitstream/123456789/392367/2/Tummers%2c%20Jose%20et%20al.%20-%20Multiple%20Correspondence%20Analysis.pdf","source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on the Statistical Analysis of Textual Data, Li\u00e8ge, 11-13 June 2012","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2520458445.pdf","grobid_xml":"https://content.openalex.org/works/W2520458445.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1493790738","https://openalex.org/W1518671722","https://openalex.org/W1675440917","https://openalex.org/W1885011557","https://openalex.org/W1971857265","https://openalex.org/W1977527497","https://openalex.org/W1986363862","https://openalex.org/W1991041471","https://openalex.org/W1996016456","https://openalex.org/W2003617358","https://openalex.org/W2005179178","https://openalex.org/W2030490911","https://openalex.org/W2047162587","https://openalex.org/W2052696562","https://openalex.org/W2064001888","https://openalex.org/W2075933652","https://openalex.org/W2085212867","https://openalex.org/W2107183756","https://openalex.org/W2116780029","https://openalex.org/W2131368024","https://openalex.org/W2134398949","https://openalex.org/W2143891888","https://openalex.org/W2185019360","https://openalex.org/W2319451710","https://openalex.org/W2480880987","https://openalex.org/W2487405569","https://openalex.org/W2492231256","https://openalex.org/W3129254000","https://openalex.org/W3133236490"],"related_works":["https://openalex.org/W2025044803","https://openalex.org/W7139094643","https://openalex.org/W2240293399","https://openalex.org/W4399107420","https://openalex.org/W199442380","https://openalex.org/W143212532","https://openalex.org/W2223482506","https://openalex.org/W7096661841","https://openalex.org/W3047976133","https://openalex.org/W142652261"],"abstract_inverted_index":{"Corpus":[0],"linguistic":[1],"research":[2],"relies":[3],"on":[4],"corpora":[5],"which":[6,22],"generally":[7],"display":[8],"an":[9,40],"unbalanced":[10],"structure.":[11],"We":[12],"will":[13,69],"discuss":[14],"a":[15,56,62,89],"potential":[16],"corollary":[17],"of":[18,53,64,82,88],"this":[19],"biased":[20],"structure":[21],"is":[23],"rarely":[24],"accounted":[25],"for":[26],"in":[27,55],"(corpus)":[28],"linguistics,":[29],"namely":[30],"con-founding":[31],"variables.":[32],"These":[33],"are":[34],"variables":[35,42,85],"increasing,":[36],"diminishing":[37],"or":[38],"reversing":[39],"explanatory":[41,66,84],"marginal":[43],"effect":[44],"compared":[45],"to":[46],"its":[47],"conditional":[48],"effect.":[49],"Analyzing":[50],"four":[51],"instances":[52],"confounding":[54],"variational":[57],"case":[58],"study":[59],"governed":[60],"by":[61,86],"series":[63],"categorical":[65],"variables,":[67],"we":[68],"argue":[70],"that":[71],"these":[72],"latent":[73],"confounders":[74],"can":[75],"be":[76],"unveiled":[77],"modeling":[78],"the":[79,83],"co-occurrence":[80],"patterns":[81],"means":[87],"multiple":[90],"correspondence":[91],"analysis.":[92]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-08-29T07:29:34.045763","created_date":"2016-09-23T00:00:00"}
