{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T17:12:07Z","timestamp":1732727527814,"version":"3.29.0"},"reference-count":11,"publisher":"SAGE Publications","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2022,1,25]]},"abstract":"This paper presents a Hybrid Feature Selection Technique for Sentiment Classification. We have used a Genetic Algorithm and a combination of existing Feature Selection methods, namely: Information Gain (IG), CHI Square (CHI), and GINI Index (GINI). First, we have obtained features from three different selection approaches as mentioned above and then performed the UNION SET Operation to extract the reduced feature set. Then, Genetic Algorithm is applied to optimize the feature set further. This paper also presents an Ensemble Approach based on the error rate obtained different domain datasets. To test our proposed Hybrid Feature Selection and Ensemble Classification approach, we have considered four Support Vector Machine (SVM) classifier variants. We have used UCI ML Datasets of three domains namely: IMDB Movie Review, Amazon Product Review and Yelp Restaurant Reviews. The experimental results show that our proposed approach performed best in all three domain datasets. Further, we also presented T-Test for Statistical Significance between classifiers and comparison is also done based on Precision, Recall, F1-Score, AUC and model execution time.<\/jats:p>","DOI":"10.3233\/jifs-189738","type":"journal-article","created":{"date-parts":[[2021,2,19]],"date-time":"2021-02-19T17:10:15Z","timestamp":1613754615000},"page":"659-668","source":"Crossref","is-referenced-by-count":0,"title":["Sentiment classification using hybrid feature selection and ensemble classifier"],"prefix":"10.1177","volume":"42","author":[{"given":"Achin","family":"Jain","sequence":"first","affiliation":[{"name":"University School of Information, Communication and Technology, GGSIPU, Sector 16C, Dwarka, Delhi, India"}]},{"given":"Vanita","family":"Jain","sequence":"additional","affiliation":[{"name":"Bharati Vidyapeeth\u2019s College of Engineering, Paschim Vihar, New Delhi, India"}]}],"member":"179","reference":[{"issue":"1","key":"10.3233\/JIFS-189738_ref2","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"},{"issue":"4","key":"10.3233\/JIFS-189738_ref4","first-page":"139","article-title":"Sentiment analysis of movie reviews using hybrid method of naive bayes and genetic algorithm","volume":"3","author":"Govindarajan","year":"2013","journal-title":"International Journal of Advanced Computer Research"},{"issue":"1","key":"10.3233\/JIFS-189738_ref5","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1186\/s40537-018-0152-5","article-title":"An ensemble approach to stabilize the features for multi-domain sentiment analysis using supervised machine learning","volume":"5","author":"Ghosh","year":"2018","journal-title":"Journal of Big Data"},{"key":"10.3233\/JIFS-189738_ref6","doi-asserted-by":"crossref","first-page":"14637","DOI":"10.1109\/ACCESS.2019.2892852","article-title":"A hybrid framework for sentiment analysis using genetic algorithm based feature reduction","volume":"7","author":"Iqbal","year":"2019","journal-title":"IEEE Access"},{"key":"10.3233\/JIFS-189738_ref8","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.asoc.2016.11.022","article-title":"A sentiment classification model based on multiple classifiers","volume":"50","author":"Catal","year":"2017","journal-title":"Applied Soft Computing"},{"key":"10.3233\/JIFS-189738_ref10","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.eswa.2016.03.028","article-title":"Classification of sentiment reviews using n-gram machine learning approach","volume":"57","author":"Tripathy","year":"2016","journal-title":"Expert Systems with Applications"},{"issue":"4","key":"10.3233\/JIFS-189738_ref11","doi-asserted-by":"crossref","first-page":"1093","DOI":"10.1016\/j.asej.2014.04.011","article-title":"Sentiment analysis algorithms and applications: a survey","volume":"5","author":"Medhat","year":"2014","journal-title":"Ain Shams Eng J"},{"issue":"10","key":"10.3233\/JIFS-189738_ref16","doi-asserted-by":"crossref","first-page":"1141","DOI":"10.3923\/tasr.2011.1141.1157","article-title":"Sentiment Classification Using Sentence-level Lexical Based","volume":"6","author":"Khan","year":"2011","journal-title":"Trends in Applied Sciences Research"},{"issue":"2","key":"10.3233\/JIFS-189738_ref18","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1162\/COLI_a_00049","article-title":"Lexicon-based methods for sentiment analysis","volume":"37","author":"Taboada","year":"2011","journal-title":"Computational Linguistics"},{"doi-asserted-by":"crossref","unstructured":"Melville P. , Gryc W. and Lawrence R.D. , Sentiment analysis of blogs by combining lexical knowledge with text classification. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 1275\u20131284). (2009).","key":"10.3233\/JIFS-189738_ref19","DOI":"10.1145\/1557019.1557156"},{"issue":"1","key":"10.3233\/JIFS-189738_ref25","doi-asserted-by":"crossref","first-page":"138","DOI":"10.15294\/sji.v6i1.14244","article-title":"Improve the Accuracy of Support Vector Machine Using Chi Square Statistic and Term Frequency Inverse Document Frequency on Movie Review Sentiment Analysis","volume":"6","author":"Larasati","year":"2019","journal-title":"Scientific Journal of Informatics"}],"container-title":["Journal of Intelligent & Fuzzy Systems"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JIFS-189738","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T13:53:31Z","timestamp":1732629211000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospress&doi=10.3233\/JIFS-189738"}},"subtitle":[],"editor":[{"given":"Hasmat","family":"Malik","sequence":"additional","affiliation":[]},{"given":"Gopal","family":"Chaudhary","sequence":"additional","affiliation":[]},{"given":"Smriti","family":"Srivastava","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2022,1,25]]},"references-count":11,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.3233\/jifs-189738","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"type":"print","value":"1064-1246"},{"type":"electronic","value":"1875-8967"}],"subject":[],"published":{"date-parts":[[2022,1,25]]}}}
