{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T05:22:00Z","timestamp":1751692920528,"version":"3.28.0"},"reference-count":16,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1109\/bigdata.2017.8258289","type":"proceedings-article","created":{"date-parts":[[2018,1,15]],"date-time":"2018-01-15T17:47:28Z","timestamp":1516038448000},"page":"3133-3138","source":"Crossref","is-referenced-by-count":2,"title":["Develop method to predict the increase in the Nikkei VI index"],"prefix":"10.1109","author":[{"given":"Hirohiko","family":"Suwa","sequence":"first","affiliation":[]},{"given":"Yuki","family":"Ogawa","sequence":"additional","affiliation":[]},{"given":"Eiichi","family":"Umehara","sequence":"additional","affiliation":[]},{"given":"Kento","family":"Kakigi","sequence":"additional","affiliation":[]},{"given":"Keiichi","family":"Yasumoto","sequence":"additional","affiliation":[]},{"given":"Tatsuo","family":"Yamashita","sequence":"additional","affiliation":[]},{"given":"Kota","family":"Tsubouchi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"115","article-title":"Analysis of stock bbs postings by text mining using specific dictionary","author":"wada","year":"2012","journal-title":"Proceedings of National Conference of JASMIN 2012 Autumn"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1111\/j.1468-036X.2013.12007.x"},{"key":"ref12","volume":"2","author":"bollen","year":"2010","journal-title":"Twitter Mood Predicts the Stock Market"},{"key":"ref13","first-page":"806","article-title":"Trading on twitter: The financial information content of emotion in social media","author":"sul","year":"2014","journal-title":"Proceedings of the 2014 47th Hawaii International Conference on System Sciences ser HICSS '14"},{"key":"ref14","article-title":"Topical analysis of interactions between news and social media","author":"hua","year":"2014","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref15","article-title":"Analysis of stock market using online multiscale dynamic topic model","author":"yamauchi","year":"2013","journal-title":"Workshop of Japanese Society for Artificial Intelligence"},{"key":"ref16","first-page":"993","article-title":"Latent dirichlet allocation","volume":"3","author":"blei","year":"2003","journal-title":"Journal of Machine Learning Research"},{"key":"ref4","article-title":"Return predictability in news: Nave-bayes based investment model using bloomberg news","author":"maegawa","year":"2013","journal-title":"Workshop of Japanese Society for Artificial Intelligence"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1111\/j.1540-6261.2007.01232.x"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.3905\/jpm.2000.319728"},{"key":"ref5","first-page":"91","article-title":"Stock market prediction from web news using filtering and machine learning","author":"ichinose","year":"2015","journal-title":"IEICE Technical Report NLC2015–16"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/ICSMC.2009.5346768"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1111\/j.1540-6261.2004.00662.x"},{"key":"ref2","first-page":"3309","article-title":"Long-term financial market analysis using economic textual information","volume":"52","author":"izumi","year":"2011","journal-title":"Transactions of Information Processing Society of Japan"},{"key":"ref1","article-title":"Construction and verification of stock prices forecast system using neulral networks","author":"nishitani","year":"2009","journal-title":"The Japan Joint Automatic Contrpl Conference"},{"key":"ref9","first-page":"2546","article-title":"Using the factor model to analyze internet bbs messages and stock returns","author":"suwa","year":"2011","journal-title":"SICE Annual Conference 2011"}],"event":{"name":"2017 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2017,12,11]]},"location":"Boston, MA","end":{"date-parts":[[2017,12,14]]}},"container-title":["2017 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8241556\/8257893\/08258289.pdf?arnumber=8258289","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,2,28]],"date-time":"2018-02-28T16:11:52Z","timestamp":1519834312000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8258289\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2017.8258289","relation":{},"subject":[],"published":{"date-parts":[[2017,12]]}}}