{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:09:16Z","timestamp":1730200156018,"version":"3.28.0"},"reference-count":37,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/bigdata.2018.8621903","type":"proceedings-article","created":{"date-parts":[[2019,1,24]],"date-time":"2019-01-24T22:07:18Z","timestamp":1548367638000},"page":"4719-4722","source":"Crossref","is-referenced-by-count":7,"title":["Classification of \"Hot News\" for Financial Forecast Using NLP Techniques"],"prefix":"10.1109","author":[{"given":"Savas","family":"Yildirim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dhanya","family":"Jothimani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Can","family":"Kavaklioglu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ayse","family":"Basar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Data Mining Practical Machine Learning Tools and Techniques","year":"2011","author":"witten","key":"ref33"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2015.03.064"},{"key":"ref31","first-page":"428","article-title":"A knowledge-poor approach to Turkish text categorization","author":"y?ld?r?m","year":"2014","journal-title":"Computational Linguistics and Intelligent Text Processing"},{"key":"ref30","first-page":"879","article-title":"A comparative analysis of text classification for Turkish language","volume":"24","author":"y?ld?r?m","year":"2018","journal-title":"Pamukkale ?niversitesi Mühendislik Bilimleri Dergisi"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"1457","DOI":"10.1109\/TKDE.2006.180","article-title":"Some effective techniques for naive bayes text classification","volume":"18","author":"kim","year":"2006","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"ref36","first-page":"649","article-title":"Character-level convolutional networks for text classification","volume":"1","author":"zhang","year":"2015","journal-title":"Proceedings of the 28th International Conference on Neural Information Processing Systems"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1007\/11871637_49","article-title":"Naive bayes for text classification with unbalanced classes","author":"frank","year":"2006","journal-title":"Knowledge Discovery in Databases PKDD 2006"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/srep01684","article-title":"Quantifying trading behavior in financial markets using google trends","volume":"3","author":"preis","year":"2013","journal-title":"Scientific Reports"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2010.12.007"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2016.02.013"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2016.10.001"},{"journal-title":"The viability of stock-twits and google trends to predict the stock market","year":"2013","author":"loughlin","key":"ref14"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1007\/978-3-642-23091-2_24","article-title":"Improving stock market prediction by integrating both market news and stock prices","author":"li","year":"2011","journal-title":"Database and Expert Systems Applications"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.4018\/IJMDEM.2018010102"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-017-1134-1"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1007\/978-3-319-89656-4_34","article-title":"Topic detection and document similarity on financial news","author":"asadi kakhki","year":"2018","journal-title":"Advances in Artificial Intelligence"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.4018\/ijbir.2013100101"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007413511361"},{"key":"ref4","first-page":"1","article-title":"Ensemble of non-classical decomposition models and machine learning models for stock index prediction","author":"jothimani","year":"2017","journal-title":"MWAIS 2017 Proceedings"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2002.1174522"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/HICSS.1993.284239"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-017-9588-9"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2522427"},{"key":"ref5","first-page":"35","article-title":"Discrete wavelet transform-based prediction of stock index: A study on National Stock Exchange Fifty index","volume":"28","author":"jothimani","year":"2015","journal-title":"Journal of Financial Management and Analysis"},{"key":"ref8","article-title":"Textual analysis of stock market prediction using financial news articles","author":"schumaker","year":"2006","journal-title":"AMCIS 2006 Proceedings"},{"key":"ref7","first-page":"1","article-title":"A big data analytical framework for portfolio optimization","author":"jothimani","year":"2014","journal-title":"Proceedings of Workshop on Internet and Big Data Finance (WIBF 14)"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"2959","DOI":"10.1016\/S1573-4412(05)80018-2","article-title":"ARCH models","volume":"4","author":"bollerslev","year":"1994","journal-title":"Handbook of Econometrics"},{"journal-title":"Using News Articles to Predict Stock Price Movements","year":"2001","author":"gid\u00f3falvi","key":"ref9"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2307\/2975974"},{"journal-title":"Using News Articles to Predict Stock Price Movements","year":"0","key":"ref20"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/BFb0026683","article-title":"Text categorization with support vector machines: Learning with many relevant features","author":"joachims","year":"1998","journal-title":"Proceedings of the 10th European Conference on Machine Learning ser ECML’98"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1080\/00437956.1954.11659520"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-0907-3"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2013.06.004"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.08.066"},{"key":"ref25","first-page":"3067","article-title":"Neural bag-of-Ngrams","author":"li","year":"2017","journal-title":"Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17) ser AAAI-17"}],"event":{"name":"2018 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2018,12,10]]},"location":"Seattle, WA, USA","end":{"date-parts":[[2018,12,13]]}},"container-title":["2018 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8610059\/8621858\/08621903.pdf?arnumber=8621903","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T18:48:13Z","timestamp":1643222893000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8621903\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2018.8621903","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}