{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T18:52:49Z","timestamp":1766602369605,"version":"3.48.0"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2023YFB4502902"],"award-info":[{"award-number":["2023YFB4502902"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Program of Xinjiang Uygur Autonomous Region","award":["2023B01027"],"award-info":[{"award-number":["2023B01027"]}]},{"name":"Key Research and Development Program of Xinjiang Uygur Autonomous Region","award":["2023B01027-1"],"award-info":[{"award-number":["2023B01027-1"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62227809"],"award-info":[{"award-number":["62227809"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3643861","type":"journal-article","created":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T18:39:31Z","timestamp":1765823971000},"page":"213306-213322","source":"Crossref","is-referenced-by-count":0,"title":["Cryptocurrency Price Prediction Using LSTM and FEDformer Enhanced by Sentiment Analysis"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-9371-1526","authenticated-orcid":false,"given":"Sumin","family":"Li","sequence":"first","affiliation":[{"name":"Computer and Artificial Intelligence, Shanghai Lixin University of Accounting and Finance, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-6437-3221","authenticated-orcid":false,"given":"Rentao","family":"Wang","sequence":"additional","affiliation":[{"name":"Business and Management, Donghua University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-0281-8838","authenticated-orcid":false,"given":"Yudong","family":"Wan","sequence":"additional","affiliation":[{"name":"Computer and Artificial Intelligence, Shanghai Lixin University of Accounting and Finance, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3506-8211","authenticated-orcid":false,"given":"Jincheng","family":"Hu","sequence":"additional","affiliation":[{"name":"Computer and Artificial Intelligence, Shanghai Lixin University of Accounting and Finance, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"Bitcoin: A peer-to-peer electronic cash system","year":"2008","author":"Nakamoto","key":"ref1"},{"article-title":"A scenario planning for interbank payments and decentralized ledger platforms","year":"2015","author":"Huls","key":"ref2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.irfa.2020.101541"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-89824-7_37"},{"article-title":"A short survey on Bitcoin price prediction","volume-title":"Proc. 6th Distrib. Ledger Technol. Workshop","author":"Bistarelli","key":"ref5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JCSSE58229.2023.10201984"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.5220\/0011103400003197"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1098\/rsos.150288"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3192474"},{"key":"ref10","article-title":"Predicting short-term Bitcoin price fluctuations from buy and sell orders","author":"Guo","year":"2018","journal-title":"arXiv.1802.04065"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/allerton.2014.7028484"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/pdp2018.2018.00060"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cam.2019.112395"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.sasc.2025.200209"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-91608-4_23"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121401"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.107065"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/icipca61593.2024.10709269"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9534453"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.2675"},{"key":"ref21","article-title":"Enhancing price prediction in cryptocurrency using transformer neural network and technical indicators","author":"Khaniki","year":"2024","journal-title":"arXiv:2403.03606"},{"key":"ref22","first-page":"1","article-title":"Emotion and sentiment analysis of tweets using BERT","volume-title":"Proc. EDBT ICDT Workshops","author":"Chiorrini"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/bdcc4040033"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.2298\/CSIS240328040K"},{"issue":"3","key":"ref25","first-page":"1","article-title":"Cryptocurrency price prediction using news and social media sentiment","volume":"1","author":"Lamon","year":"2017","journal-title":"SMU Data Sci. Rev."},{"key":"ref26","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018","journal-title":"arXiv:1810.04805"},{"key":"ref27","article-title":"Cryptocurrency return prediction using investor sentiment extracted by BERT-based classifiers from news articles, Reddit posts and tweets","author":"Ider","year":"2022","journal-title":"arXiv.2204.05781"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/622"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2023.3283170"},{"key":"ref30","first-page":"28","article-title":"ARIMA: The models of box and Jenkins","author":"Stellwagen","year":"2013","journal-title":"Foresight, Int. J. Appl. Forecasting"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/0304-4076(86)90063-1"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.48175\/ijarsct-1486"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.econlet.2017.06.023"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/jrfm10040017"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/icoei.2019.8862585"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/math9010056"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ribaf.2022.101829"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1115\/imece2022-95145"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/0364-0213(90)90002-e"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/d14-1179"},{"key":"ref43","first-page":"1764","article-title":"Towards end-to-end speech recognition with recurrent neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Graves"},{"key":"ref44","article-title":"Attention is all you need","author":"Vaswani","year":"2017","journal-title":"arXiv.1706.03762"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115378"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121520"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/access.2023.3324535"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-025-01463-6"},{"key":"ref49","first-page":"131","article-title":"ARIMA for short-term andLSTM for long-term in daily Bitcoin price prediction","volume-title":"Proc. Int. Conf. Artif. Intell. Soft Comput.","author":"Toai"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1051\/e3sconf\/202021801050"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.03.002"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.279"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICICCSP53532.2022.9862436"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.7873\/date.2014.046"},{"article-title":"Reformer: The eff\u0131cient transformer","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kitaev","key":"ref55"},{"key":"ref56","article-title":"Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting","author":"Wu","year":"2021","journal-title":"arXiv:2106.13008"},{"key":"ref57","article-title":"FEDformer: Frequency enhanced decomposed transformer for long-term series forecasting","author":"Zhou","year":"2022","journal-title":"arXiv:2201.12740"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3358452"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/3533271.3561738"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfds.2024.100148"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11299632.pdf?arnumber=11299632","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T18:46:58Z","timestamp":1766602018000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11299632\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3643861","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2025]]}}}