{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T14:38:44Z","timestamp":1774881524036,"version":"3.50.1"},"reference-count":62,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2019,3,9]],"date-time":"2019-03-09T00:00:00Z","timestamp":1552089600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100010418","name":"Institute for Information and communications Technology Promotion","doi-asserted-by":"publisher","award":["No.R7120-17-1007"],"award-info":[{"award-number":["No.R7120-17-1007"]}],"id":[{"id":"10.13039\/501100010418","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2019,8]]},"DOI":"10.1007\/s10489-019-01425-4","type":"journal-article","created":{"date-parts":[[2019,3,9]],"date-time":"2019-03-09T02:22:12Z","timestamp":1552098132000},"page":"3123-3145","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["EnSWF: effective features extraction and selection in conjunction with ensemble learning methods for document sentiment classification"],"prefix":"10.1007","volume":"49","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8263-7213","authenticated-orcid":false,"given":"Jawad","family":"Khan","sequence":"first","affiliation":[]},{"given":"Aftab","family":"Alam","sequence":"additional","affiliation":[]},{"given":"Jamil","family":"Hussain","sequence":"additional","affiliation":[]},{"given":"Young-Koo","family":"Lee","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,3,9]]},"reference":[{"issue":"3","key":"1425_CR1","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1145\/1361684.1361685","volume":"26","author":"A Abbasi","year":"2008","unstructured":"Abbasi A, Chen H, Salem A (2008) Sentiment analysis in multiple languages: feature selection for opinion classification in web forums. ACM Trans Inf Syst (TOIS) 26(3):12","journal-title":"ACM Trans Inf Syst (TOIS)"},{"key":"1425_CR2","volume-title":"Treebanks: building and using parsed corpora, vol 20","author":"A Abeill\u00e9","year":"2012","unstructured":"Abeill\u00e9 A (2012) Treebanks: building and using parsed corpora, vol 20. Springer, Berlin"},{"key":"1425_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-3223-4","volume-title":"Mining text data","author":"CC Aggarwal","year":"2012","unstructured":"Aggarwal CC, Zhai C (2012) Mining text data. Springer, Berlin"},{"key":"1425_CR4","doi-asserted-by":"crossref","unstructured":"Akhtar N, Ahamad MV (2018) Graph tools for social network analysis. In: Graph theoretic approaches for analyzing large-scale social networks. IGI Global, pp 18\u201333","DOI":"10.4018\/978-1-5225-2814-2.ch002"},{"key":"1425_CR5","unstructured":"Blitzer J, Dredze M, Pereira F (2007) Biographies, bollywood, boom-boxes and blenders: domain adaptation for sentiment classification. In: Proceedings of the 45th annual meeting of the association of computational linguistics, pp 440\u2013447"},{"key":"1425_CR6","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.asoc.2016.11.022","volume":"50","author":"C Catal","year":"2017","unstructured":"Catal C, Nangir M (2017) A sentiment classification model based on multiple classifiers. Appl Soft Comput 50:135\u2013141","journal-title":"Appl Soft Comput"},{"issue":"1","key":"1425_CR7","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.compeleceng.2013.11.024","volume":"40","author":"G Chandrashekar","year":"2014","unstructured":"Chandrashekar G, Sahin F (2014) A survey on feature selection methods. Comput Electr Eng 40(1):16\u201328","journal-title":"Comput Electr Eng"},{"key":"1425_CR8","doi-asserted-by":"crossref","unstructured":"Chawla N, Eschrich S, Hall LO (2001) Creating ensembles of classifiers. In: Proceedings IEEE international conference on data mining. ICDM 2001. IEEE, pp 580\u2013581","DOI":"10.1109\/ICDM.2001.989568"},{"key":"1425_CR9","doi-asserted-by":"crossref","unstructured":"Choi Y, Kim Y, Myaeng SH (2009) Domain-specific sentiment analysis using contextual feature generation. In: Proceedings of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion. ACM, pp 37\u201344","DOI":"10.1145\/1651461.1651469"},{"key":"1425_CR10","doi-asserted-by":"crossref","unstructured":"Dave K, Lawrence S, Pennock DM (2003) Mining the peanut gallery: opinion extraction and semantic classification of product reviews. In: Proceedings of the 12th international conference on world wide web. ACM, pp 519\u2013528","DOI":"10.1145\/775152.775226"},{"issue":"1","key":"1425_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00500-012-0885-6","volume":"17","author":"A Ekbal","year":"2013","unstructured":"Ekbal A, Saha S (2013) Combining feature selection and classifier ensemble using a multiobjective simulated annealing approach: application to named entity recognition. Soft Comput 17(1):1\u201316","journal-title":"Soft Comput"},{"key":"1425_CR12","unstructured":"Esuli A, Sebastiani F Sentiwordnet: a high-coverage lexical resource for opinion mining"},{"key":"1425_CR13","doi-asserted-by":"crossref","unstructured":"Frank E, Bouckaert RR (2006) Naive bayes for text classification with unbalanced classes. In: European conference on principles of data mining and knowledge discovery. Springer, pp 503\u2013510","DOI":"10.1007\/11871637_49"},{"key":"1425_CR14","unstructured":"Goldburd M, Khare A, Tevet CD (2016) Generalized linear models for insurance rating. In: Casualty actuarial society"},{"key":"1425_CR15","volume-title":"Rapidminer: data mining use cases and business analytics applications","author":"M Hofmann","year":"2013","unstructured":"Hofmann M, Klinkenberg R (2013) Rapidminer: data mining use cases and business analytics applications. CRC Press, Boca Raton"},{"key":"1425_CR16","doi-asserted-by":"crossref","unstructured":"Hu M, Liu B (2004) Mining and summarizing customer reviews. In: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, pp 168\u2013177","DOI":"10.1145\/1014052.1014073"},{"key":"1425_CR17","unstructured":"Iliasova O et al (2017) The application of social media analysis for marketing and business"},{"key":"1425_CR18","doi-asserted-by":"crossref","unstructured":"Joachims T (1998) Text categorization with support vector machines: learning with many relevant features. In: European conference on machine learning. Springer, pp 137\u2013142","DOI":"10.1007\/BFb0026683"},{"key":"1425_CR19","unstructured":"Karthik M, Davis M (2004) Search using n-gram technique based statistical analysis for knowledge extraction in case based reasoning systems. arXiv:\n                    cs\/0407009"},{"key":"1425_CR20","doi-asserted-by":"crossref","unstructured":"Khan J, Jeong BS (2016) Summarizing customer review based on product feature and opinion. In: 2016 international conference on machine learning and cybernetics (ICMLC), vol 1. IEEE, pp 158\u2013165","DOI":"10.1109\/ICMLC.2016.7860894"},{"key":"1425_CR21","doi-asserted-by":"crossref","unstructured":"Khan J, Jeong BS, Lee YK, Alam A (2016) Sentiment analysis at sentence level for heterogeneous datasets. In: Proceedings of the sixth international conference on emerging databases: technologies, applications, and theory. ACM, pp 159\u2013163","DOI":"10.1145\/3007818.3007848"},{"key":"1425_CR22","unstructured":"Kim SM, Hovy E (2004) Determining the sentiment of opinions. In: Proceedings of the 20th international conference on computational linguistics. Association for Computational Linguistics, p 1367"},{"key":"1425_CR23","doi-asserted-by":"crossref","unstructured":"Lewis DD (1998) Naive (bayes) at forty: the independence assumption in information retrieval. In: European conference on machine learning. Springer, pp 4\u201315","DOI":"10.1007\/BFb0026666"},{"key":"1425_CR24","doi-asserted-by":"crossref","unstructured":"Li S, Zong C, Wang X (2007) Sentiment classification through combining classifiers with multiple feature sets. In: International conference on natural language processing and knowledge engineering. NLP-KE 2007. IEEE, pp 135\u2013140","DOI":"10.1109\/NLPKE.2007.4368024"},{"issue":"8","key":"1425_CR25","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1093\/comjnl\/41.8.537","volume":"41","author":"YH Li","year":"1998","unstructured":"Li YH, Jain AK (1998) Classification of text documents. Comput J 41(8):537\u2013546","journal-title":"Comput J"},{"issue":"1","key":"1425_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2200\/S00416ED1V01Y201204HLT016","volume":"5","author":"B Liu","year":"2012","unstructured":"Liu B (2012) Sentiment analysis and opinion mining. Synthesis lectures on human language technologies 5 (1):1\u2013167","journal-title":"Synthesis lectures on human language technologies"},{"key":"1425_CR27","doi-asserted-by":"crossref","unstructured":"Matsumoto S, Takamura H, Okumura M (2005) Sentiment classification using word sub-sequences and dependency sub-trees. In: Pacific-asia conference on knowledge discovery and data mining. Springer, pp 301\u2013311","DOI":"10.1007\/11430919_37"},{"key":"1425_CR28","doi-asserted-by":"crossref","unstructured":"McAuley J, Leskovec J (2013) Hidden factors and hidden topics: understanding rating dimensions with review text. In: Proceedings of the 7th ACM conference on recommender systems. ACM, pp 165\u2013172","DOI":"10.1145\/2507157.2507163"},{"key":"1425_CR29","unstructured":"McCallum A, Nigam K, et al (1998) A comparison of event models for naive bayes text classification. In: AAAI-98 workshop on learning for text categorization. Citeseer, vol 752, pp 41\u201348"},{"issue":"3","key":"1425_CR30","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1016\/0377-2217(84)90282-0","volume":"16","author":"P McCullagh","year":"1984","unstructured":"McCullagh P (1984) Generalized linear models. Eur J Oper Res 16(3):285\u2013292","journal-title":"Eur J Oper Res"},{"issue":"2","key":"1425_CR31","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1016\/j.eswa.2012.07.059","volume":"40","author":"R Moraes","year":"2013","unstructured":"Moraes R, Valiati JF, Neto WPG (2013) Document-level sentiment classification: an empirical comparison between svm and ann. Expert Syst Appl 40(2):621\u2013633","journal-title":"Expert Syst Appl"},{"key":"1425_CR32","unstructured":"Mullen T, Collier N (2004) Sentiment analysis using support vector machines with diverse information sources. In: Proceedings of the 2004 conference on empirical methods in natural language processing"},{"key":"1425_CR33","doi-asserted-by":"crossref","unstructured":"Ng V, Dasgupta S, Arifin S (2006) Examining the role of linguistic knowledge sources in the automatic identification and classification of reviews. In: Proceedings of the COLING\/ACL on main conference poster sessions. Association for Computational Linguistics, pp 611\u2013618","DOI":"10.3115\/1273073.1273152"},{"issue":"1","key":"1425_CR34","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1177\/0165551515613226","volume":"43","author":"A Onan","year":"2017","unstructured":"Onan A, Koruko\u011flu S (2017) A feature selection model based on genetic rank aggregation for text sentiment classification. J Inf Sci 43(1):25\u201338","journal-title":"J Inf Sci"},{"key":"1425_CR35","unstructured":"Pang B, Lee L, Vaithyanathan S (2002) Thumbs up?: sentiment classification using machine learning techniques. In: Proceedings of the ACL-02 conference on empirical methods in natural language processing. Association for Computational Linguistics, vol 10, pp 79\u201386"},{"key":"1425_CR36","unstructured":"Park H, Kwon S, Kwon HC (2010) Complete gini-index text (git) feature-selection algorithm for text classification. In: 2010 2nd international conference on software engineering and data mining (SEDM). IEEE, pp 366\u2013371"},{"issue":"8","key":"1425_CR37","doi-asserted-by":"publisher","first-page":"1226","DOI":"10.1109\/TPAMI.2005.159","volume":"27","author":"H Peng","year":"2005","unstructured":"Peng H, Long F, Ding C (2005) Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal Mach Intell 27(8):1226\u20131238","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"04","key":"1425_CR38","first-page":"2229","volume":"1","author":"RP Priyadarsini","year":"2011","unstructured":"Priyadarsini RP, Valarmathi M, Sivakumari S (2011) Gain ratio based feature selection method for privacy preservation. ICTACT J Soft Comput 1(04):2229\u20136956","journal-title":"ICTACT J Soft Comput"},{"key":"1425_CR39","doi-asserted-by":"crossref","unstructured":"Rogati M, Yang Y (2002) High-performing feature selection for text classification. In: Proceedings of the eleventh international conference on information and knowledge management. ACM, pp 659\u2013661","DOI":"10.1145\/584792.584911"},{"issue":"12","key":"1425_CR40","doi-asserted-by":"publisher","first-page":"14799","DOI":"10.1016\/j.eswa.2011.05.070","volume":"38","author":"MR Saleh","year":"2011","unstructured":"Saleh MR, Mart\u00edn-Valdivia MT, Montejo-R\u00e1ez A, Ure\u00f1a-L\u00f3pez L (2011) Experiments with svm to classify opinions in different domains. Expert Systems with Applications 38(12):14799\u201314804","journal-title":"Expert Systems with Applications"},{"key":"1425_CR41","unstructured":"Su Y, Zhang Y, Ji D, Wang Y, Wu H (2012) Ensemble learning for sentiment classification. In: Workshop on chinese lexical semantics. Springer, pp 84\u201393"},{"issue":"4","key":"1425_CR42","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1109\/MIS.2008.57","volume":"23","author":"VS Subrahmanian","year":"2008","unstructured":"Subrahmanian VS, Reforgiato D (2008) Ava: adjective-verb-adverb combinations for sentiment analysis. IEEE Intell Syst 23(4):43\u201350","journal-title":"IEEE Intell Syst"},{"issue":"4","key":"1425_CR43","doi-asserted-by":"publisher","first-page":"2622","DOI":"10.1016\/j.eswa.2007.05.028","volume":"34","author":"S Tan","year":"2008","unstructured":"Tan S, Zhang J (2008) An empirical study of sentiment analysis for chinese documents. Expert Systems with Applications 34(4):2622\u20132629","journal-title":"Expert Systems with Applications"},{"key":"1425_CR44","unstructured":"Tang J, Alelyani S, Liu H (2014) Feature selection for classification: a review. Data Classification: Algorithms and Applications, p 37"},{"key":"1425_CR45","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/j.eswa.2016.03.028","volume":"57","author":"A Tripathy","year":"2016","unstructured":"Tripathy A, Agrawal A, Rath SK (2016) Classification of sentiment reviews using n-gram machine learning approach. Expert Syst Appl 57:117\u2013126","journal-title":"Expert Syst Appl"},{"issue":"2","key":"1425_CR46","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1134\/S1054661817020122","volume":"27","author":"I Trofimov","year":"2017","unstructured":"Trofimov I, Genkin A (2017) Distributed coordinate descent for generalized linear models with regularization. Pattern Recognit Image Anal 27(2):349\u2013364","journal-title":"Pattern Recognit Image Anal"},{"key":"1425_CR47","unstructured":"Tsutsumi K, Shimada K, Endo T (2007) Movie review classification based on a multiple classifier. In: Proceedings of the 21st pacific Asia conference on language, information and computation, pp 481\u2013488"},{"key":"1425_CR48","unstructured":"Turney PD (2002) Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews. In: Proceedings of the 40th annual meeting on association for computational linguistics. Association for Computational Linguistics, pp 417\u2013424"},{"key":"1425_CR49","unstructured":"Vechtomova O (2009) Introduction to information retrieval christopher d. manning, prabhakar raghavan, and hinrich schutze (stanford university, yahoo! research, and university of stuttgart) cambridge: Cambridge university press, 2008, xxi+\u2009482 pp; hardbound isbn 978-0-521-86571-5"},{"key":"1425_CR50","doi-asserted-by":"crossref","unstructured":"Wan Y, Gao Q (2015) An ensemble sentiment classification system of twitter data for airline services analysis. In: 2015 IEEE international conference on data mining workshop (ICDMW). IEEE, pp 1318\u20131325","DOI":"10.1109\/ICDMW.2015.7"},{"key":"1425_CR51","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.dss.2013.08.002","volume":"57","author":"G Wang","year":"2014","unstructured":"Wang G, Sun J, Ma J, Xu K, Gu J (2014) Sentiment classification: the contribution of ensemble learning. Decis Support Syst 57:77\u201393","journal-title":"Decis Support Syst"},{"key":"1425_CR52","doi-asserted-by":"crossref","unstructured":"Wang H, Khoshgoftaar TM, Van Hulse J (2010) A comparative study of threshold-based feature selection techniques. In: 2010 IEEE international conference on granular computing (grc). IEEE, pp 499\u2013504","DOI":"10.1109\/GrC.2010.104"},{"key":"1425_CR53","unstructured":"Weidong Z, Jingyu F, Yongmin L (2014) Using gini-index for feature selection in text categorization"},{"key":"1425_CR54","doi-asserted-by":"crossref","unstructured":"Wilson T, Wiebe J, Hoffmann P (2005) Recognizing contextual polarity in phrase-level sentiment analysis. In: Proceedings of the conference on human language technology and empirical methods in natural language processing. Association for Computational Linguistics, pp 347\u2013354","DOI":"10.3115\/1220575.1220619"},{"issue":"6","key":"1425_CR55","doi-asserted-by":"publisher","first-page":"1138","DOI":"10.1016\/j.ins.2010.11.023","volume":"181","author":"R Xia","year":"2011","unstructured":"Xia R, Zong C, Li S (2011) Ensemble of feature sets and classification algorithms for sentiment classification. Inf Sci 181(6):1138\u20131152","journal-title":"Inf Sci"},{"key":"1425_CR56","unstructured":"Yang Y, Pedersen JO (1997) A comparative study on feature selection in text categorization. In: Icml, vol 97, No 412\u2013420, p 35"},{"key":"1425_CR57","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.eswa.2017.01.009","volume":"75","author":"A Yousefpour","year":"2017","unstructured":"Yousefpour A, Ibrahim R, Hamed HNA (2017) Ordinal-based and frequency-based integration of feature selection methods for sentiment analysis. Expert Syst Appl 75:80\u201393","journal-title":"Expert Syst Appl"},{"key":"1425_CR58","unstructured":"Yu J, Zha ZJ, Wang M, Chua TS (2011) Aspect ranking: identifying important product aspects from online consumer reviews. In: Proceedings of the 49th annual meeting of the association for computational linguistics: human language technologies. Association for Computational Linguistics, vol 1, pp 1496\u20131505"},{"issue":"8","key":"1425_CR59","doi-asserted-by":"publisher","first-page":"9139","DOI":"10.1016\/j.eswa.2011.01.047","volume":"38","author":"Z Zhai","year":"2011","unstructured":"Zhai Z, Xu H, Kang B, Jia P (2011) Exploiting effective features for chinese sentiment classification. Expert Syst Appl 38(8):9139\u20139146","journal-title":"Expert Syst Appl"},{"issue":"4","key":"1425_CR60","doi-asserted-by":"publisher","first-page":"1857","DOI":"10.1016\/j.eswa.2014.09.011","volume":"42","author":"D Zhang","year":"2015","unstructured":"Zhang D, Xu H, Su Z, Xu Y (2015) Chinese comments sentiment classification based on word2vec and svmperf. Expert Syst Appl 42(4):1857\u20131863. \n                    https:\/\/doi.org\/10.1016\/j.eswa.2014.09.011","journal-title":"Expert Syst Appl"},{"issue":"4","key":"1425_CR61","doi-asserted-by":"publisher","first-page":"1857","DOI":"10.1016\/j.eswa.2014.09.011","volume":"42","author":"D Zhang","year":"2015","unstructured":"Zhang D, Xu H, Su Z, Xu Y (2015) Chinese comments sentiment classification based on word2vec and svmperf. Expert Syst Appl 42(4):1857\u20131863","journal-title":"Expert Syst Appl"},{"issue":"1","key":"1425_CR62","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1109\/T-AFFC.2011.2","volume":"2","author":"J Zhu","year":"2011","unstructured":"Zhu J, Wang H, Zhu M, Tsou BK, Ma M (2011) Aspect-based opinion polling from customer reviews. IEEE Trans Affect Comput 2(1):37\u201349","journal-title":"IEEE Trans Affect Comput"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-019-01425-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10489-019-01425-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-019-01425-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,8]],"date-time":"2020-03-08T00:17:27Z","timestamp":1583626647000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10489-019-01425-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,9]]},"references-count":62,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2019,8]]}},"alternative-id":["1425"],"URL":"https:\/\/doi.org\/10.1007\/s10489-019-01425-4","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,9]]},"assertion":[{"value":"9 March 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}