{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T07:01:32Z","timestamp":1772348492303,"version":"3.50.1"},"reference-count":20,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Scientific Programming"],"published-print":{"date-parts":[[2015]]},"abstract":"<jats:p>With the rapid growth of websites and web form the number of product reviews is available on the sites. An opinion mining system is needed to help the people to evaluate emotions, opinions, attitude, and behavior of others, which is used to make decisions based on the user preference. In this paper, we proposed an optimized feature reduction that incorporates an ensemble method of machine learning approaches that uses information gain and genetic algorithm as feature reduction techniques. We conducted comparative study experiments on multidomain review dataset and movie review dataset in opinion mining. The effectiveness of single classifiers Na\u00efve Bayes, logistic regression, support vector machine, and ensemble technique for opinion mining are compared on five datasets. The proposed hybrid method is evaluated and experimental results using information gain and genetic algorithm with ensemble technique perform better in terms of various measures for multidomain review and movie reviews. Classification algorithms are evaluated using McNemar\u2019s test to compare the level of significance of the classifiers.<\/jats:p>","DOI":"10.1155\/2015\/961454","type":"journal-article","created":{"date-parts":[[2015,5,14]],"date-time":"2015-05-14T21:12:30Z","timestamp":1431637950000},"page":"1-15","source":"Crossref","is-referenced-by-count":21,"title":["Feature Reduction Based on Genetic Algorithm and Hybrid Model for Opinion Mining"],"prefix":"10.1155","volume":"2015","author":[{"given":"P.","family":"Kalaivani","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Sathyabama University, St. Joseph\u2019s College of Engineering, Chennai 600119, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K. L.","family":"Shunmuganathan","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, RMK Engineering College, Chennai, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"98","reference":[{"key":"6","doi-asserted-by":"publisher","DOI":"10.1162\/0891201041850885"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijhcs.2006.08.009"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.07.035"},{"key":"31","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.12.147"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1109\/tsmca.2010.2093886"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1561\/1500000001"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2010.11.023"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1109\/tsmcc.2011.2136334"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2013.26"},{"issue":"4","key":"17","first-page":"285","volume":"4","year":"2013","journal-title":"Indian Journal of Computer Science and Engineering"},{"issue":"8","key":"18","first-page":"1769","volume":"8","year":"2013","journal-title":"International Review on Computers and Software"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1145\/1361684.1361685"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1007\/978-90-481-3658-2_89"},{"issue":"1","key":"19","volume":"17","year":"2004","journal-title":"Colorado Research in Linguistics"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8640.2006.00277.x"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1109\/tsmcb.2003.817051"},{"key":"32","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.05.070"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1016\/j.joi.2009.01.003"},{"key":"34","series-title":"Advances in Intelligent Systems and Computing","volume-title":"An evaluation of classification algorithms using MC Nemar's test","volume":"201","year":"2013"},{"key":"36","first-page":"1","volume":"7","year":"2006","journal-title":"Journal of Machine Learning Research"}],"container-title":["Scientific Programming"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/sp\/2015\/961454.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/sp\/2015\/961454.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/sp\/2015\/961454.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2016,8,19]],"date-time":"2016-08-19T04:01:02Z","timestamp":1471579262000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/sp\/2015\/961454\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"references-count":20,"alternative-id":["961454","961454"],"URL":"https:\/\/doi.org\/10.1155\/2015\/961454","relation":{},"ISSN":["1058-9244","1875-919X"],"issn-type":[{"value":"1058-9244","type":"print"},{"value":"1875-919X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015]]}}}