{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T06:28:32Z","timestamp":1775716112791,"version":"3.50.1"},"reference-count":28,"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\/bigdata50022.2020.9378345","type":"proceedings-article","created":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T21:10:21Z","timestamp":1616188221000},"page":"1137-1146","source":"Crossref","is-referenced-by-count":20,"title":["BELT: A Pipeline for Stock Price Prediction Using News"],"prefix":"10.1109","author":[{"given":"Yingzhe","family":"Dong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Da","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdullateef Ibrahim","family":"Almudaifer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sibo","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhe","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3108822"},{"key":"ref11","article-title":"Deepar: Probabilistic forecasting with autoregressive recurrent networks","volume":"abs 1704 4110","author":"flunkert","year":"2017","journal-title":"CoRR"},{"key":"ref12","first-page":"1901","article-title":"Probabilistic forecasting with spline quantile function rnns","author":"gasthaus","year":"2019","journal-title":"AISTATS"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412738"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0212320"},{"key":"ref16","article-title":"Reformer: The efficient transformer","author":"kitaev","year":"2020","journal-title":"ICLRE"},{"key":"ref17","article-title":"ALBERT: A lite BERT for self-supervised learning of language representations","author":"lan","year":"2020","journal-title":"ICLRE"},{"key":"ref18","first-page":"15","author":"mittal","year":"2012","journal-title":"Stock Prediction Using Twitter Sentiment Analysis"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IRI.2019.00018"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2907260"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0180944"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1198\/016214505000000169"},{"key":"ref3","year":"0","journal-title":"Thirty Must-Follow Twitter News Accounts in 2019"},{"key":"ref6","article-title":"Language models are few-shot learners","volume":"abs 2005 14165","author":"brown","year":"2020","journal-title":"CoRR"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/for.2585"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1285"},{"key":"ref7","first-page":"7057","article-title":"Cross-lingual language model pretraining","author":"conneau","year":"2019","journal-title":"NeurIPS"},{"key":"ref2","year":"0","journal-title":"Fifty Most Important People for Investors to Follow"},{"key":"ref9","first-page":"4171","article-title":"BERT: pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2019","journal-title":"NAACL"},{"key":"ref1","year":"0","journal-title":"A Hundred Most Popular Stocks"},{"key":"ref20","author":"radford","year":"2018","journal-title":"Improving language understanding by generative pre-training"},{"key":"ref22","first-page":"7796","article-title":"Deep state space models for time series forecasting","author":"rangapuram","year":"2018","journal-title":"NeurIPS"},{"key":"ref21","first-page":"9","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"radford","year":"2019","journal-title":"OpenAIRE blog"},{"key":"ref24","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"NeurIPS"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2019.122343"},{"key":"ref26","first-page":"5754","article-title":"Xlnet: Generalized autoregressive pretraining for language understanding","author":"yang","year":"2019","journal-title":"NeurIPS"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1183"}],"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\/09378345.pdf?arnumber=9378345","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:52:42Z","timestamp":1656345162000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9378345\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,10]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/bigdata50022.2020.9378345","relation":{},"subject":[],"published":{"date-parts":[[2020,12,10]]}}}