{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,14]],"date-time":"2024-09-14T09:54:20Z","timestamp":1726307660923},"reference-count":33,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2021,3,13]],"date-time":"2021-03-13T00:00:00Z","timestamp":1615593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,30]]},"abstract":"Abstract<\/jats:title>\n For Japan\u2014a country that has always been described with virtually no major natural resources such as oil, gas, and coal\u2014the Middle Eastern region has a special place in its economic and foreign policy. In 2017, 39% of Japan\u2019s energy came from oil, and 87% of Japan\u2019s imported oil came from the Middle East, predominantly Saudi Arabia and the UAE. The above facts are enough to discern the critical significance of the Middle Eastern region for Japan. For Japan to have an unhindered supply of oil and other natural resources, it is pertinent that this region remains peaceful. In this scenario, the Middle East-related articles in Japan\u2019s newspapers can help understand Japan\u2019s perspective towards the Middle East. This paper would first apply the topic modelling approach non-negative matrix factorization (NMF) on Middle East-related articles from three newspapers of Japan. After discovering crucial topics, we would utilize traditional supervised machine learning algorithms to determine the overall and topic-specific sentiments from the collected headlines. Our topic modelling results discovered that the Japanese media widely reported issues like Islamic State, the refugee crisis, the Syrian civil war, Qasem Soleimani killing, and Iran nuclear deal. Further, the news related to Saudi Arabia, Syria, and Trump garnered high negative sentiment.<\/jats:p>","DOI":"10.1093\/llc\/fqab019","type":"journal-article","created":{"date-parts":[[2021,2,19]],"date-time":"2021-02-19T12:24:57Z","timestamp":1613737497000},"page":"871-885","source":"Crossref","is-referenced-by-count":7,"title":["Understanding the Middle East through the eyes of Japan\u2019s Newspapers: A topic modelling and sentiment analysis approach"],"prefix":"10.1093","volume":"36","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-0543-2027","authenticated-orcid":false,"given":"Piyush","family":"Ghasiya","sequence":"first","affiliation":[{"name":"Kyushu University, Fukuoka, Japan"}]},{"given":"Koji","family":"Okamura","sequence":"additional","affiliation":[{"name":"Kyushu University, Fukuoka, Japan"}]}],"member":"286","published-online":{"date-parts":[[2021,3,13]]},"reference":[{"key":"2021103118083021800_fqab019-B1","first-page":"1","author":"Arora","year":"2012"},{"issue":"1","key":"2021103118083021800_fqab019-B2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1057\/s41599-020-0523-3","article-title":"Sentiments and emotions evoked by news headlines of coronavirus disease (COVID-19) outbreak","volume":"7","author":"Aslam","year":"2020","journal-title":"Humanities and Social Sciences Communications"},{"key":"2021103118083021800_fqab019-B3","article-title":"Rethinking sentiment analysis in the news: from theory to practice and back","volume":"9","author":"Balahur","year":"2009","journal-title":"Proceeding of WOMSA"},{"key":"2021103118083021800_fqab019-B4","doi-asserted-by":"crossref","first-page":"102089","DOI":"10.1016\/j.ajp.2020.102089","article-title":"Sentiment analysis of nationwide lockdown due to COVID 19 outbreak: Evidence from India","volume":"51","author":"Barkur","year":"2020","journal-title":"Asian Journal of Psychiatry"},{"key":"2021103118083021800_fqab019-B5","volume-title":"Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit","author":"Bird","year":"2009"},{"key":"2021103118083021800_fqab019-B6","first-page":"993","article-title":"Latent Dirichlet allocation","volume":"3","author":"Blei","year":"2003","journal-title":"The Journal of Machine Learning Research"},{"key":"2021103118083021800_fqab019-B7","volume-title":"Modern Multidimensional Scaling: Theory and Applications","author":"Borg","year":"2005"},{"key":"2021103118083021800_fqab019-B8","doi-asserted-by":"crossref","volume-title":"Applications of Topic Models","author":"Boyd-Graber","year":"2017","DOI":"10.1561\/9781680833096"},{"key":"2021103118083021800_fqab019-B9","author":"Cordesman","year":"2018"},{"key":"2021103118083021800_fqab019-B10","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1007\/978-3-540-33037-0_14","volume-title":"Handbook of data visualization","author":"Cox","year":"2008"},{"key":"2021103118083021800_fqab019-B11","article-title":"The Iranian\u2013Saudi hegemonic rivalry","volume":"25","author":"Fathollah-Nejad","year":"2017","journal-title":"Iran Matters"},{"key":"2021103118083021800_fqab019-B12","doi-asserted-by":"crossref","volume-title":"Rolling Back the Islamic State","author":"Jones","year":"2017","DOI":"10.7249\/RR1912"},{"key":"2021103118083021800_fqab019-B13","author":"Kamel","year":"2018"},{"issue":"11","key":"2021103118083021800_fqab019-B14","doi-asserted-by":"crossref","first-page":"1032","DOI":"10.1016\/0301-4215(92)90158-X","article-title":"Japan and the Middle East: towards a more positive role","volume":"20","author":"Katakura","year":"1992","journal-title":"Energy Policy"},{"key":"2021103118083021800_fqab019-B15","first-page":"17","article-title":"Japan\u2019s Middle East Policy: impact of the oil crises","volume":"19","author":"Kimura","year":"1985","journal-title":"Kobe University Law Review"},{"key":"2021103118083021800_fqab019-B16","first-page":"147","article-title":"Correlated topic models","volume":"18","author":"Lafferty","year":"2006","journal-title":"Advances in Neural Information Processing Systems"},{"issue":"6755","key":"2021103118083021800_fqab019-B17","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1038\/44565","article-title":"Learning the parts of objects by non-negative matrix factorization","volume":"401","author":"Lee","year":"1999","journal-title":"Nature"},{"key":"2021103118083021800_fqab019-B18","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1007\/978-981-15-0058-9_35","volume-title":"Computational Science and Technology","author":"Lim","year":"2020"},{"issue":"1","key":"2021103118083021800_fqab019-B19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2200\/S00416ED1V01Y201204HLT016","article-title":"Sentiment analysis and opinion mining","volume":"5","author":"Liu","year":"2012","journal-title":"Synthesis Lectures on Human Language Technologies"},{"key":"2021103118083021800_fqab019-B20","first-page":"142","author":"Maas","year":"2011"},{"key":"2021103118083021800_fqab019-B21","author":"Mikolov","year":"2013"},{"issue":"1","key":"2021103118083021800_fqab019-B22","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1080\/01436598908420140","article-title":"Japan\u2019s oil diplomacy: Tatemae and honne","volume":"11","author":"Nester","year":"1989","journal-title":"Third World Quarterly"},{"issue":"13","key":"2021103118083021800_fqab019-B23","doi-asserted-by":"crossref","first-page":"5645","DOI":"10.1016\/j.eswa.2015.02.055","article-title":"An analysis of the coherence of descriptors in topic modeling","volume":"42","author":"O\u2019Callaghan","year":"2015","journal-title":"Expert Systems with Applications"},{"key":"2021103118083021800_fqab019-B24","doi-asserted-by":"crossref","first-page":"S273","DOI":"10.1016\/S0021-8502(05)80089-8","article-title":"Matrix factorization methods for analysing diffusion battery data","volume":"22","author":"Paatero","year":"1991","journal-title":"Journal of Aerosol Science"},{"issue":"2","key":"2021103118083021800_fqab019-B25","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1006\/jcss.2000.1711","article-title":"Latent semantic indexing: A probabilistic analysis","volume":"61","author":"Papadimitriou","year":"2000","journal-title":"Journal of Computer and System Sciences"},{"key":"2021103118083021800_fqab019-B26","first-page":"2825","article-title":"Scikit-learn: machine learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"The Journal of Machine Learning Research"},{"key":"2021103118083021800_fqab019-B27","doi-asserted-by":"crossref","volume-title":"Framing Public Life: Perspectives on Media and our Understanding of the Social World","author":"Reese","year":"2001","DOI":"10.4324\/9781410605689"},{"key":"2021103118083021800_fqab019-B28","author":"Richardson","year":"2007"},{"key":"2021103118083021800_fqab019-B29","doi-asserted-by":"crossref","volume-title":"Text Analytics with Python: A Practitioner\u2019s Guide to Natural Language Processing","author":"Sarkar","year":"2019","DOI":"10.1007\/978-1-4842-4354-1"},{"key":"2021103118083021800_fqab019-B30","first-page":"234","volume-title":"Introduction to Information Retrieval","author":"Sch\u00fctze","year":"2008"},{"key":"2021103118083021800_fqab019-B31","first-page":"63","author":"Sievert","year":"2014"},{"key":"2021103118083021800_fqab019-B32","author":"Yamagata","year":"2017"},{"key":"2021103118083021800_fqab019-B33","doi-asserted-by":"crossref","first-page":"23522","DOI":"10.1109\/ACCESS.2020.2969854","article-title":"Sentiment analysis for E-commerce product reviews in Chinese based on sentiment lexicon and deep learning","volume":"8","author":"Yang","year":"2020","journal-title":"IEEE Access"}],"container-title":["Digital Scholarship in the Humanities"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/academic.oup.com\/dsh\/article-pdf\/36\/4\/871\/41027231\/fqab019.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"http:\/\/academic.oup.com\/dsh\/article-pdf\/36\/4\/871\/41027231\/fqab019.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,31]],"date-time":"2021-10-31T18:09:50Z","timestamp":1635703790000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/dsh\/article\/36\/4\/871\/6169508"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,13]]},"references-count":33,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2021,3,13]]},"published-print":{"date-parts":[[2021,10,30]]}},"URL":"https:\/\/doi.org\/10.1093\/llc\/fqab019","relation":{},"ISSN":["2055-7671","2055-768X"],"issn-type":[{"value":"2055-7671","type":"print"},{"value":"2055-768X","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2021,12,1]]},"published":{"date-parts":[[2021,3,13]]}}}