{"id":"https://openalex.org/W4389073006","doi":"https://doi.org/10.1109/csit61576.2023.10324203","title":"Specialized text classification: an approach to classifying Open Banking transactions","display_name":"Specialized text classification: an approach to classifying Open Banking transactions","publication_year":2023,"publication_date":"2023-10-19","ids":{"openalex":"https://openalex.org/W4389073006","doi":"https://doi.org/10.1109/csit61576.2023.10324203"},"language":"en","primary_location":{"id":"doi:10.1109/csit61576.2023.10324203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csit61576.2023.10324203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2504.12319","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111081559","display_name":"Duc Tuyen Ta","orcid":null},"institutions":[{"id":"https://openalex.org/I201298700","display_name":"Banque de France","ror":"https://ror.org/0088v6m32","country_code":"FR","type":"other","lineage":["https://openalex.org/I201298700"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Duc Tuyen Ta","raw_affiliation_strings":["Global Data Science Team &#x2013; Open Banking,Oney Bank Paris,France"],"affiliations":[{"raw_affiliation_string":"Global Data Science Team &#x2013; Open Banking,Oney Bank Paris,France","institution_ids":["https://openalex.org/I201298700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101562417","display_name":"Wajdi Ben Saad","orcid":"https://orcid.org/0000-0002-0939-016X"},"institutions":[{"id":"https://openalex.org/I201298700","display_name":"Banque de France","ror":"https://ror.org/0088v6m32","country_code":"FR","type":"other","lineage":["https://openalex.org/I201298700"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Wajdi Ben Saad","raw_affiliation_strings":["Global Data Science Team &#x2013; Open Banking,Oney Bank Paris,France"],"affiliations":[{"raw_affiliation_string":"Global Data Science Team &#x2013; Open Banking,Oney Bank Paris,France","institution_ids":["https://openalex.org/I201298700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112088742","display_name":"Ji Young Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I201298700","display_name":"Banque de France","ror":"https://ror.org/0088v6m32","country_code":"FR","type":"other","lineage":["https://openalex.org/I201298700"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ji Young Oh","raw_affiliation_strings":["Global Data Science Team &#x2013; Open Banking,Oney Bank Paris,France"],"affiliations":[{"raw_affiliation_string":"Global Data Science Team &#x2013; Open Banking,Oney Bank Paris,France","institution_ids":["https://openalex.org/I201298700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111081559"],"corresponding_institution_ids":["https://openalex.org/I201298700"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1590455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.968999981880188,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.968999981880188,"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/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.9496999979019165,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10127","display_name":"Banking stability, regulation, efficiency","score":0.9347000122070312,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8020083904266357},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.595496654510498},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5761756896972656},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.567001461982727},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5175082683563232},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5042742490768433},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.49634629487991333},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4502427577972412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43079593777656555},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.374611496925354},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3409144878387451},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.17594602704048157}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8020083904266357},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.595496654510498},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5761756896972656},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.567001461982727},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5175082683563232},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5042742490768433},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.49634629487991333},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4502427577972412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43079593777656555},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.374611496925354},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3409144878387451},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.17594602704048157},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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:10.1109/csit61576.2023.10324203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csit61576.2023.10324203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2504.12319","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.12319","pdf_url":"https://arxiv.org/pdf/2504.12319","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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"},{"id":"pmh:oai:RePEc:arx:papers:2504.12319","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2504.12319","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.12319","pdf_url":"https://arxiv.org/pdf/2504.12319","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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"},"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2624962813","https://openalex.org/W3006722116","https://openalex.org/W3013984202","https://openalex.org/W4299462732","https://openalex.org/W6745184249"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"With":[0],"the":[1,4,8,12,35,62,82,97,115,149,165,175],"introduction":[2],"of":[3,19,37,42,64],"PSD2":[5],"regulation":[6],"in":[7,76,96,164],"EU":[9],"which":[10],"established":[11],"Open":[13,106],"Banking":[14,107],"framework,":[15],"a":[16,39,104,112,154,158],"new":[17],"window":[18],"opportunities":[20],"has":[21,71],"opened":[22],"for":[23],"banks":[24],"and":[25,29,54,58,69,79,118,130,172,181],"FinTech":[26],"to":[27,49,147,184],"explore":[28],"enrich":[30],"Bank":[31],"transaction":[32,108],"descriptions":[33],"with":[34,111,157],"aim":[36],"building":[38],"better":[40],"understanding":[41,48],"customer":[43],"behavior,":[44],"while":[45],"using":[46],"this":[47,100,142],"prevent":[50],"fraud,":[51],"reduce":[52],"risks":[53],"offer":[55],"more":[56],"competitive":[57],"tailored":[59,146],"services.And":[60],"although":[61],"usage":[63],"natural":[65],"language":[66,120,155],"processing":[67],"models":[68],"techniques":[70,171],"seen":[72],"an":[73],"incredible":[74],"progress":[75],"various":[77],"applications":[78,87],"domains":[80],"over":[81],"past":[83],"few":[84],"years,":[85],"custom":[86],"based":[88],"on":[89,114,138],"domain-specific":[90],"text":[91,160],"corpus":[92,161],"remain":[93],"unaddressed":[94],"especially":[95],"banking":[98],"sector.In":[99],"paper,":[101],"we":[102],"introduce":[103],"language-based":[105],"classification":[109,140],"system":[110,123,143,177],"focus":[113,137],"French":[116,119,166],"market":[117],"text.":[121],"The":[122],"encompasses":[124],"data":[125,163],"collection,":[126],"labeling,":[127],"preprocessing,":[128],"modeling,":[129],"evaluation":[131],"stages.":[132],"Unlike":[133],"previous":[134],"studies":[135],"that":[136],"general":[139],"approaches,":[141],"is":[144],"specifically":[145],"address":[148],"challenges":[150],"posed":[151],"by":[152],"training":[153],"model":[156],"specialized":[159],"(Banking":[162],"context).":[167],"By":[168],"incorporating":[169],"language-specific":[170],"domain":[173],"knowledge,":[174],"proposed":[176],"demonstrates":[178],"enhanced":[179],"performance":[180],"efficiency":[182],"compared":[183],"generic":[185],"approaches.":[186]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
