{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T20:49:51Z","timestamp":1784234991643,"version":"3.55.0"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100011033","name":"Agencia Estatal de Investigaci?n","doi-asserted-by":"publisher","award":["PDC2021-121112-I00"],"award-info":[{"award-number":["PDC2021-121112-I00"]}],"id":[{"id":"10.13039\/501100011033","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011033","name":"Agencia Estatal de Investigaci?n","doi-asserted-by":"publisher","award":["PID2019-107652RB-I00"],"award-info":[{"award-number":["PID2019-107652RB-I00"]}],"id":[{"id":"10.13039\/501100011033","id-type":"DOI","asserted-by":"publisher"}]},{"name":"European Union NextGenerationEU\/PRTR","award":["PDC2021-121112-I00"],"award-info":[{"award-number":["PDC2021-121112-I00"]}]},{"DOI":"10.13039\/100007801","name":"Fundaci?n S?neca","doi-asserted-by":"publisher","award":["20963\/PI\/18"],"award-info":[{"award-number":["20963\/PI\/18"]}],"id":[{"id":"10.13039\/100007801","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008049","name":"Fundaci?n Banco Santander","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004687","name":"Universidad de Murcia","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004687","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3244065","type":"journal-article","created":{"date-parts":[[2023,2,10]],"date-time":"2023-02-10T19:36:12Z","timestamp":1676057772000},"page":"14211-14224","source":"Crossref","is-referenced-by-count":14,"title":["Smart Analysis of Economics Sentiment in Spanish Based on Linguistic Features and Transformers"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3651-2660","authenticated-orcid":false,"given":"Jose Antonio","family":"Garcia-Diaz","sequence":"first","affiliation":[{"name":"Facultad de Inform&#x00E1;tica, Universidad de Murcia, Campus de Espinardo, Murcia, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2667-5359","authenticated-orcid":false,"given":"Francisco","family":"Garcia-Sanchez","sequence":"additional","affiliation":[{"name":"Facultad de Inform&#x00E1;tica, Universidad de Murcia, Campus de Espinardo, Murcia, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2457-1791","authenticated-orcid":false,"given":"Rafael","family":"Valencia-Garcia","sequence":"additional","affiliation":[{"name":"Facultad de Inform&#x00E1;tica, Universidad de Murcia, Campus de Espinardo, Murcia, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-09973-3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.08.005"},{"key":"ref3","first-page":"1","article-title":"Spanish pre-trained BERT model and evaluation data","volume-title":"Proc. ICLR","author":"Ca nete"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.repl4nlp-1.15"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-60887-3_15"},{"key":"ref6","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018","journal-title":"arXiv:1810.04805"},{"key":"ref7","article-title":"ALBETO and DistilBETO: Lightweight Spanish language models","author":"Ca nete","year":"2022","journal-title":"arXiv:2204.09145"},{"key":"ref8","first-page":"39","article-title":"Maria: Spanish language models","volume":"68","author":"Guti\u00e9rrez-Fandi no","year":"2022","journal-title":"Procesamiento Del Lenguaje Natural"},{"key":"ref9","first-page":"13","article-title":"BERTin: Efficient pre-training of a Spanish language model using perplexity sampling","volume":"68","author":"Rosa","year":"2022","journal-title":"Procesamiento del Lenguaje Natural"},{"key":"ref10","article-title":"Unsupervised cross-lingual representation learning at scale","author":"Conneau","year":"2019","journal-title":"arXiv:1911.02116"},{"key":"ref11","volume-title":"Plan for the Advancement of Language Technology","author":"Affairs","year":"2015"},{"key":"ref12","first-page":"452","article-title":"Opinion mining and sentiment analysis","volume-title":"Proc. 3rd Int. Conf. Comput. Sustain. Global Develop. (INDIACom)","author":"Bakshi"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/5529312"},{"key":"ref14","article-title":"Twitter sentiment analysis: Lexicon method, machine learning method and their combination","author":"Kolchyna","year":"2015","journal-title":"arXiv:1507.00955"},{"key":"ref15","first-page":"2200","article-title":"SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining","volume-title":"Proc. Int. Conf. Lang. Resour. Eval. (LREC)","volume":"10","author":"Baccianella"},{"key":"ref16","first-page":"38","article-title":"Semantic-based sentiment analysis in financial news","volume-title":"Proc. 1st Int. Workshop Finance Econ. Semantic Web","author":"Ruiz-Martinez"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/6152494"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s00146-020-01111-x"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.06.019"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1177\/0261927X09351676"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1177\/0165551514547842"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.04.009"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-10056-6"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/app11093883"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1907.11692"},{"key":"ref28","article-title":"FinBERT: Financial sentiment analysis with pre-trained language models","author":"Araci","year":"2019","journal-title":"arXiv:1908.10063"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/622"},{"key":"ref30","first-page":"1","article-title":"ALBERT: A lite BERT for self-supervised learning of language representations","volume-title":"Proc. 8th Int. Conf. Learn. Represent.","author":"Lan"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.41"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1108\/dta-09-2020-0200"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.6018\/rcsar.386541"},{"key":"ref34","article-title":"Stock prediction using Twitter sentiment analysis","author":"Mittal","year":"2012"},{"key":"ref35","first-page":"119","article-title":"Analyzing stock market movements using Twitter sentiment analysis","volume-title":"Proc. ASONAM","author":"Rao"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2014.6974028"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-017-0111-6"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.06.014"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.85"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115019"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.6076"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/6672677"},{"key":"ref43","first-page":"1","article-title":"A linked data approach to sentiment and emotion analysis of Twitter in the financial domain","volume-title":"Proc. 2nd Int. Workshop Semantic Web Enterprise Adoption Best Practice 2nd Int. Workshop Finance Econ. Semantic Web Co-Located 11th Eur. Semantic Web Conf.","volume":"1240","author":"Fernando S\u00e1nchez-Rada"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.59471\/raia201843"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.iref.2023.10.037"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3009626"},{"key":"ref47","first-page":"139","article-title":"Umucorpusclassifier: Compilation and evaluation of linguistic corpus for natural language processing tasks","volume":"65","author":"Garc\u00eda-Diaz","year":"2020","journal-title":"Procesamiento del Lenguaje Natural"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-77703-0_31"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1111\/j.1468-2958.2004.tb00738.x"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-021-00625-1"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.08.032"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-demos.14"},{"key":"ref53","first-page":"1","article-title":"Efficient estimation of word representations in vector space","volume-title":"Proc. 1st Int. Conf. Learn. Represent. (ICLR)","author":"Mikolov"},{"key":"ref54","first-page":"1","article-title":"Advances in pre-training distributed word representations","volume-title":"Proc. Int. Conf. Lang. Resour. Eval. (LREC)","author":"Mikolov"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1573"},{"key":"ref57","first-page":"1","article-title":"Learning word vectors for 157 languages","volume-title":"Proc. 11th Int. Conf. Lang. Resour. Eval. (LREC)","author":"Grave"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1249"},{"key":"ref60","first-page":"163","article-title":"Overview of TASS 2020: Introducing emotion detection","volume-title":"Proc. Iberian Lang. Eval. Forum Co-Located 36th Conf. Spanish Soc. Natural Lang. Process. (SEPLN)","volume":"2664","author":"Vega"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.5120\/9744-4304"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2019.102153"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10041929.pdf?arnumber=10041929","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T19:21:15Z","timestamp":1709407275000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10041929\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3244065","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}