{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T10:16:27Z","timestamp":1776680187799,"version":"3.51.2"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3062875","type":"journal-article","created":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T21:52:41Z","timestamp":1614635561000},"page":"36645-36656","source":"Crossref","is-referenced-by-count":112,"title":["Investigating COVID-19 News Across Four Nations: A Topic Modeling and Sentiment Analysis Approach"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0543-2027","authenticated-orcid":false,"given":"Piyush","family":"Ghasiya","sequence":"first","affiliation":[{"name":"Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan"}]},{"given":"Koji","family":"Okamura","sequence":"additional","affiliation":[{"name":"Research Institute for Information Technology, Kyushu University, Fukuoka, Japan"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"arXiv 1706 03762"},{"key":"ref38","article-title":"RoBERTa: A robustly optimized BERT pretraining approach","author":"liu","year":"2019","journal-title":"arXiv 1907 11692"},{"key":"ref33","author":"angelov","year":"2020","journal-title":"Top2Vec"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2017.12"},{"key":"ref31","article-title":"UMAP: Uniform manifold approximation and projection for dimension reduction","author":"mcinnes","year":"2018","journal-title":"arXiv 1802 03426"},{"key":"ref30","first-page":"1","article-title":"Distributed representations of sentences and documents","author":"le","year":"2014","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref37","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018","journal-title":"arXiv 1810 04805"},{"key":"ref36","first-page":"2200","article-title":"SentiWordNet 3.0: An enchanced lexical resource for sentiment analysis and opinion mining","volume":"10","author":"baccianella","year":"2010","journal-title":"Proc LREC Eur Lang Resour Assoc"},{"key":"ref35","year":"2020","journal-title":"TextBlob Simplified text processing"},{"key":"ref34","first-page":"1","article-title":"Vader: A parsimonious rule-based model for sentiment analysis of social media text","author":"gilbert","year":"2016","journal-title":"Proc 8th Int Conf Weblogs Social Media (ICWSM)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1075\/li.30.1.03nad"},{"key":"ref40","author":"ghasiya","year":"2021","journal-title":"COVID-19 News Articles"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139084789"},{"key":"ref12","article-title":"Google’s neural machine translation system: Bridging the gap between human and machine translation","author":"wu","year":"2016","journal-title":"arXiv 1609 08144"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2133806.2133826"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1002\/9781119004752"},{"key":"ref15","year":"2021","journal-title":"How Natural Language Processing (NLP) Can Help Us Understand the Landscape of COVID-19"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1601\/5\/052009"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.2196\/19118"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3010033"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1108\/K-05-2020-0258"},{"key":"ref28","first-page":"86","article-title":"Exploring public response to COVID-19 on Weibo with LDA topic modeling and sentiment analysis","volume":"5","author":"xie","year":"2020","journal-title":"J Inf Data Management"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41418-020-00720-9"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0239441"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-020-2798-3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1126\/science.abc0030"},{"key":"ref29","article-title":"Top2 Vec: Distributed representations of topics","author":"angelov","year":"2020","journal-title":"arXiv 2008 09470"},{"key":"ref5","first-page":"7","article-title":"Prologue—Framing public life","author":"reese","year":"2001","journal-title":"Framing Public Life Perspectives on Media and Our Understanding of the Social World"},{"key":"ref8","year":"2020","journal-title":"The COVID Bankruptcies Guitar Center to Helicopter Charters"},{"key":"ref7","year":"2020","journal-title":"Which top Economies Have Suffered Worst GDP Fall Due to COVID-19 Pandemic?"},{"key":"ref2","year":"2021","journal-title":"COVID-19 Map"},{"key":"ref9","author":"krishnan","year":"2015","journal-title":"Social data analytics Collaboration for the enterprise"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30185-9"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/info11060314"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.2997769"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3027350"},{"key":"ref42","year":"2021","journal-title":"Coronaviruses"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1080\/10911359.2020.1781015"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1038\/d41586-020-02507-x"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.2196\/21978"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.2196\/22624"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajp.2020.102089"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09366469.pdf?arnumber=9366469","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,15]],"date-time":"2024-01-15T21:26:36Z","timestamp":1705353996000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9366469\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3062875","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}