{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T07:40:16Z","timestamp":1772610016597,"version":"3.50.1"},"reference-count":39,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,10]]},"DOI":"10.1109\/bigdata50022.2020.9378169","type":"proceedings-article","created":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T21:10:21Z","timestamp":1616188221000},"page":"1117-1126","source":"Crossref","is-referenced-by-count":14,"title":["Identifying FinTech Innovations Using BERT"],"prefix":"10.1109","author":[{"given":"Doina","family":"Caragea","sequence":"first","affiliation":[]},{"given":"Mark","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Theodor","family":"Cojoianu","sequence":"additional","affiliation":[]},{"given":"Mihai","family":"Dobri","sequence":"additional","affiliation":[]},{"given":"Kyle","family":"Glandt","sequence":"additional","affiliation":[]},{"given":"George","family":"Mihaila","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref38","first-page":"5754","article-title":"Xlnet: Generalized autoregressive pretraining for language understanding","author":"yang","year":"2019","journal-title":"Advances in NIPS"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s11187-018-9991-x"},{"key":"ref32","article-title":"Fintech by the numbers","author":"eckenrode","year":"2017","journal-title":"Deloitte Services LP"},{"key":"ref31","article-title":"Wealth tech market map","year":"2017"},{"key":"ref30","author":"young","year":"0","journal-title":"UK Fintech on the Cutting Edge An Evaluation of the International Fintech Sector"},{"key":"ref37","article-title":"Albert: A lite bert for self-supervised learning of language representations","author":"lan","year":"2020","journal-title":"ICLRE"},{"key":"ref36","article-title":"Roberta: A robustly optimized bert pretraining approach","author":"liu","year":"2019"},{"key":"ref35","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32381-3_16"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-19231-9_12"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-12511-4_11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2017.0-127"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-018-2905-5"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611975321.56"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"219","DOI":"10.3390\/su10010219","article-title":"A hierarchical feature extraction model for multi-label mechanical patent classification","volume":"10","author":"hu","year":"2018","journal-title":"Sustainability"},{"key":"ref16","article-title":"Optimizing neural networks for patent classification","volume":"16","author":"abdelgawad","year":"2019","journal-title":"Proc of ECML-PKDD"},{"key":"ref17","article-title":"Patentbert: Patent classification with fine-tuning a pre-trained bert model","author":"lee","year":"2019"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-43687-2_70"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref28","first-page":"2016","article-title":"Fintech market map","volume":"11","author":"levy","year":"2015","journal-title":"Retrieved"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1093\/rfs\/hhy130"},{"key":"ref27","article-title":"Innovation in payments: The future is fintech","author":"mellon","year":"2015","journal-title":"The Bank of Newyork"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3347755"},{"key":"ref6","first-page":"537","article-title":"Digital finance and fintech: current research and future research directions","volume":"87","author":"gomber","year":"2017","journal-title":"Journal of Economics and Business"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.22146\/jieb.23554"},{"key":"ref5","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018"},{"key":"ref8","article-title":"Financial information systems and the fintech revolution","author":"gomber","year":"2018"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1093\/rfs\/hhz025"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198817314.003.0010","article-title":"A global overview from a geographical perspective","volume":"207","author":"w\u00f3jcik","year":"2018","journal-title":"Int Financ Centres after Glob Financ Cris Brexit"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/945546.945547"},{"key":"ref1","first-page":"371","article-title":"Fintech, regtech, and the reconceptualization of financial regulation","volume":"37","author":"arner","year":"2016","journal-title":"Nw J Int’l L & Bus"},{"key":"ref20","article-title":"Efficient estimation of word representations in vector space","author":"mikolov","year":"2013"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00051"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1108\/DTA-01-2019-0002"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-27684-3_18"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"364","DOI":"10.3390\/info10120364","article-title":"A study on trend analysis of applicants based on patent classification systems","volume":"10","author":"chae","year":"2019","journal-title":"Information"}],"event":{"name":"2020 IEEE International Conference on Big Data (Big Data)","location":"Atlanta, GA, USA","start":{"date-parts":[[2020,12,10]]},"end":{"date-parts":[[2020,12,13]]}},"container-title":["2020 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9377717\/9377728\/09378169.pdf?arnumber=9378169","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T14:33:59Z","timestamp":1698071639000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9378169\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,10]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/bigdata50022.2020.9378169","relation":{},"subject":[],"published":{"date-parts":[[2020,12,10]]}}}