{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T01:07:39Z","timestamp":1767143259219,"version":"build-2238731810"},"update-to":[{"DOI":"10.1007\/s12559-016-9415-7","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2016,7,30]],"date-time":"2016-07-30T00:00:00Z","timestamp":1469836800000}}],"reference-count":81,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2016,7,30]],"date-time":"2016-07-30T00:00:00Z","timestamp":1469836800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cogn Comput"],"published-print":{"date-parts":[[2016,8]]},"DOI":"10.1007\/s12559-016-9421-9","type":"journal-article","created":{"date-parts":[[2016,7,29]],"date-time":"2016-07-29T23:50:46Z","timestamp":1469836246000},"page":"772-775","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Erratum to: Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques"],"prefix":"10.1007","volume":"8","author":[{"given":"Kia","family":"Dashtipour","sequence":"first","affiliation":[]},{"given":"Soujanya","family":"Poria","sequence":"additional","affiliation":[]},{"given":"Amir","family":"Hussain","sequence":"additional","affiliation":[]},{"given":"Erik","family":"Cambria","sequence":"additional","affiliation":[]},{"given":"Ahmad Y. A.","family":"Hawalah","sequence":"additional","affiliation":[]},{"given":"Alexander","family":"Gelbukh","sequence":"additional","affiliation":[]},{"given":"Qiang","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,7,30]]},"reference":[{"issue":"4","key":"9421_CR1","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1007\/s12559-014-9316-6","volume":"7","author":"B Agarwal","year":"2015","unstructured":"Agarwal B, Poria S, Mittal N, Gelbukh A, Hussain A. Concept-level sentiment analysis with dependency-based semantic parsing: a novel approach. Cogn Comput. 2015;7(4):487\u201399.","journal-title":"Cogn Comput."},{"key":"9421_CR2","unstructured":"Ahmad K, Cheng D, Almas Y. Multi-lingual sentiment analysis of financial news streams. In: Proceedings of the 1st international conference on grid in finance; 2006."},{"key":"9421_CR3","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1504\/IJSNM.2015.072280","volume":"2","author":"M Al-Ayyoub","year":"2015","unstructured":"Al-Ayyoub M, Essa SB, Alsmadi I. Lexicon-based sentiment analysis of arabic tweets. Int J Soc Netw Min. 2015;2:101\u201314.","journal-title":"Int J Soc Netw Min."},{"key":"9421_CR4","unstructured":"Balahur A, Turchi M. Multilingual sentiment analysis using machine translation? In: Proceedings of the 3rd workshop in computational approaches to subjectivity and sentiment analysis. Association for Computational Linguistics; 2012, p. 52\u201360."},{"key":"9421_CR5","unstructured":"Balahur A, Turchi M. Improving sentiment analysis in twitter using multilingual machine translated data. In: RANLP; 2013, p. 49\u201355."},{"key":"9421_CR6","unstructured":"Bautin M, Vijayarenu L, Skiena S. International sentiment analysis for news and blogs. In: ICWSM; 2008."},{"key":"9421_CR7","first-page":"39","volume":"22","author":"AL Berger","year":"1996","unstructured":"Berger AL, Pietra VJD, Pietra SAD. A maximum entropy approach to natural language processing. Comput Linguist. 1996;22:39\u201371.","journal-title":"Comput Linguist."},{"key":"9421_CR8","doi-asserted-by":"crossref","unstructured":"Bhaskar J, Sruthi K, Nedungadi P. Enhanced sentiment analysis of informal textual communication in social media by considering objective words and intensifiers. In: Recent advances and innovations in engineering (ICRAIE), 2014. IEEE; 2014, p. 1\u20136.","DOI":"10.1109\/ICRAIE.2014.6909220"},{"key":"9421_CR9","unstructured":"Blitzer J, Dredze M, Pereira F, et al. Biographies, bollywood, boom-boxes and blenders: domain adaptation for sentiment classification. In: ACL; 2007, p. 440\u201347."},{"key":"9421_CR10","doi-asserted-by":"crossref","first-page":"526","DOI":"10.1007\/s10791-008-9070-z","volume":"12","author":"E Boiy","year":"2009","unstructured":"Boiy E, Moens M-F. A machine learning approach to sentiment analysis in multilingual Web texts. Inf Retr. 2009;12:526\u201358.","journal-title":"Inf Retr."},{"key":"9421_CR11","unstructured":"Cambria E, Olsher D, Rajagopal D. SenticNet 3: A common and common-sense knowledge base for cognition-driven sentiment analysis. In: AAAI, 2014, p. 1515\u20131521, Quebec City."},{"key":"9421_CR12","unstructured":"Carroll TZJ. Unsupervised classification of sentiment and objectivity in Chinese text. In: Third international joint conference on natural language processing. 2008, p. 304."},{"key":"9421_CR13","first-page":"27","volume":"2","author":"C-C Chang","year":"2011","unstructured":"Chang C-C, Lin C-J. LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol TIST. 2011;2:27.","journal-title":"ACM Trans Intell Syst Technol TIST."},{"key":"9421_CR14","doi-asserted-by":"crossref","unstructured":"Chikersal P, Poria S, Cambria E. SeNTU: sentiment analysis of tweets by combining a rule-based classifier with supervised learning. In: Proceedings of the international workshop on semantic evaluation (SemEval 2015). 2015.","DOI":"10.18653\/v1\/S15-2108"},{"key":"9421_CR15","doi-asserted-by":"crossref","DOI":"10.1007\/978-94-017-0171-6","volume-title":"Language modeling for information retrieval","author":"WB Croft","year":"2003","unstructured":"Croft WB, Lafferty J. Language modeling for information retrieval. Berlin: Springer; 2003."},{"issue":"2","key":"9421_CR16","first-page":"135","volume":"5","author":"IO Cruz-Garcia","year":"2014","unstructured":"Cruz-Garcia IO, Gelbukh A, Sidorov G. Implicit aspect indicator extraction for aspect based opinion mining. Int J Comput Linguist Appl. 2014;5(2):135\u201352.","journal-title":"Int J Comput Linguist Appl."},{"key":"9421_CR17","doi-asserted-by":"crossref","first-page":"51","DOI":"10.17562\/PB-49-6","volume":"49","author":"N Das","year":"2014","unstructured":"Das N, Ghosh S, Gon\u00e7alves T, Quaresma P. Comparison of different graph distance metrics for semantic text based classification. Polibits. 2014;49:51\u20137.","journal-title":"Polibits."},{"key":"9421_CR18","doi-asserted-by":"crossref","unstructured":"Denecke K. Using SentiWordNet for multilingual sentiment analysis. In: IEEE 24th international data engineering workshop, 2008. ICDEW 2008. IEEE; 2008, p. 507\u201312.","DOI":"10.1109\/ICDEW.2008.4498370"},{"key":"9421_CR19","doi-asserted-by":"crossref","unstructured":"Duwairi RM, Qarqaz I (2014) Arabic sentiment analysis using supervised classification. In: 2014 international conference on future internet of things and cloud (FiCloud). IEEE; 2014.","DOI":"10.1109\/FiCloud.2014.100"},{"key":"9421_CR20","doi-asserted-by":"crossref","unstructured":"Evans DK, Ku L-W, Seki Y, Chen H\u2013H, Kando N. Opinion analysis across languages: an overview of and observations from the NTCIR6 opinion analysis pilot task. In: Applications of fuzzy sets theory. Berlin: Springer; 2007, p. 456\u201363.","DOI":"10.1007\/978-3-540-73400-0_57"},{"key":"9421_CR21","doi-asserted-by":"crossref","unstructured":"Ghorbel H, Jacot D. Further experiments in sentiment analysis of French movie reviews. In: Advances in intelligent web mastering\u20133. Berlin, Heidelberg: Springer; 2011, p. 19\u201328.","DOI":"10.1007\/978-3-642-18029-3_3"},{"key":"9421_CR22","unstructured":"Ghosh M, Kar A. Unsupervised linguistic approach for sentiment classification from online reviews using SentiWordNet 3.0. Int J Eng Res Technol. 2013."},{"key":"9421_CR23","doi-asserted-by":"crossref","unstructured":"Habernal I, Pt\u00e1cek T, Steinberger J. Sentiment analysis in Czech social media using supervised machine learning. In: Proceedings of the 4th workshop on computational approaches to subjectivity, sentiment and social media analysis. 2013, p. 65\u201374.","DOI":"10.3115\/v1\/W14-2605"},{"key":"9421_CR24","doi-asserted-by":"crossref","first-page":"606","DOI":"10.1016\/j.ipm.2010.11.003","volume":"47","author":"Y He","year":"2011","unstructured":"He Y, Zhou D. Self-training from labeled features for sentiment analysis. Inf Process Manag. 2011;47:606\u201316.","journal-title":"Inf Process Manag."},{"key":"9421_CR25","doi-asserted-by":"crossref","unstructured":"Holmes G, Donkin A, Witten IH. Weka: a machine learning workbench. In: Proceedings of the 1994 second Australian and New Zealand conference on intelligent information systems. IEEE; 1994, p. 357\u201361.","DOI":"10.1109\/ANZIIS.1994.396988"},{"key":"9421_CR26","doi-asserted-by":"crossref","unstructured":"Hu M, Liu B. Mining and summarizing customer reviews. In: Proceedings of the tenth ACM SIGKDD international conference on knowledge discovery and data mining. ACM; 2004, p. 168\u201377.","DOI":"10.1145\/1014052.1014073"},{"key":"9421_CR27","doi-asserted-by":"crossref","first-page":"63","DOI":"10.17562\/PB-51-9","volume":"51","author":"S Jimenez","year":"2015","unstructured":"Jimenez S, Gonzalez FA, Gelbukh A. Soft cardinality in semantic text processing: experience of the SemEval international competitions. Polibits. 2015;51:63\u201372.","journal-title":"Polibits."},{"key":"9421_CR28","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9781139084789","volume-title":"Sentiment analysis: mining opinions, sentiments, and emotions","author":"B Liu","year":"2015","unstructured":"Liu B. Sentiment analysis: mining opinions, sentiments, and emotions. Cambridge: Cambridge University Press; 2015."},{"key":"9421_CR29","unstructured":"Liu Z, Dong X, Guan Y, Yang J. Reserved self-training: a semisupervised sentiment classification method for Chinese microblogs. In: Proceedings of IJCNLP; 2013."},{"issue":"4","key":"9421_CR30","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/j.jksuci.2014.06.003","volume":"26","author":"FHH Mahyoub","year":"2014","unstructured":"Mahyoub FHH, Siddiqui MA, Dahab MY. Building an Arabic sentiment lexicon using semi-supervised learning. J King Saud Univ Comput Inf Sci. 2014;26(4):417\u201324.","journal-title":"J King Saud Univ Comput Inf Sci."},{"key":"9421_CR31","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511809071","volume-title":"Introduction to information retrieval","author":"CD Manning","year":"2008","unstructured":"Manning CD, Raghavan P, Sch\u00fctze H. Introduction to information retrieval. Cambridge: Cambridge University Press; 2008."},{"key":"9421_CR32","doi-asserted-by":"crossref","first-page":"1093","DOI":"10.1016\/j.asej.2014.04.011","volume":"5","author":"W Medhat","year":"2014","unstructured":"Medhat W, Hassan A, Korashy H. Sentiment analysis algorithms and applications: a survey. Ain Shams Eng. J. 2014;5:1093\u2013113.","journal-title":"Ain Shams Eng. J."},{"key":"9421_CR33","doi-asserted-by":"crossref","unstructured":"Mirchev U, Last M. Multi-document summarization by extended graph text representation and importance refinement. Innov Doc Summ Tech Revolut Knowl Underst Revolut Knowl Underst. 2014; 28.","DOI":"10.4018\/978-1-4666-5019-0.ch002"},{"key":"9421_CR34","doi-asserted-by":"crossref","unstructured":"Mizumoto K, Yanagimoto H, Yoshioka M. Sentiment analysis of stock market news with semi-supervised learning. In: 2012 IEEE\/ACIS 11th international conference on computer and information science (ICIS). IEEE, 2012; p. 325\u201328.","DOI":"10.1109\/ICIS.2012.97"},{"key":"9421_CR35","doi-asserted-by":"crossref","unstructured":"Morency L-P, Mihalcea R, Doshi P. Towards multimodal sentiment analysis: harvesting opinions from the web. In: Proceedings of the 13th international conference on multimodal interfaces. ACM; 2011, p. 169\u201376.","DOI":"10.1145\/2070481.2070509"},{"key":"9421_CR36","doi-asserted-by":"crossref","unstructured":"Narayanan V, Arora I, Bhatia A. Fast and accurate sentiment classification using an enhanced Naive Bayes model. In: Intelligent data engineering and automated learning\u2013IDEAL 2013. Berlin: Springer; 2013, p. 194\u2013201.","DOI":"10.1007\/978-3-642-41278-3_24"},{"key":"9421_CR37","doi-asserted-by":"crossref","unstructured":"Pang B, Lee L. A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts. In: Proceedings of the 42nd annual meeting on association for computational linguistics. Association for Computational Linguistics; 2004, p. 271.","DOI":"10.3115\/1218955.1218990"},{"key":"9421_CR38","doi-asserted-by":"crossref","unstructured":"Pang B, Lee L, Vaithyanathan S. Thumbs up?: sentiment classification using machine learning techniques. In: Proceedings of the ACL-02 conference on empirical methods in natural language processing, vol 10. Association for Computational Linguistics, 2002; p. 79\u201386.","DOI":"10.3115\/1118693.1118704"},{"key":"9421_CR39","unstructured":"Posadas-Dur\u00e1n J-P, Markov I, G\u00f3mez-Adorno H, Sidorov G, Batyrshin I, Gelbukh A, Pichardo-Lagunas O. Syntactic N-grams as features for the author profiling task. Notebook for PAN at CLEF 2015. CEUR Workshop Proceedings 1391; 2015."},{"key":"9421_CR40","doi-asserted-by":"crossref","unstructured":"Raina P. Sentiment analysis in news articles using sentic computing. In: 2013 IEEE 13th International conference on data mining workshops (ICDMW). IEEE; 2013, p. 959\u201362.","DOI":"10.1109\/ICDMW.2013.27"},{"key":"9421_CR41","doi-asserted-by":"crossref","unstructured":"Rajagopal D, Cambria E, Olsher D, Kwok K. A graph-based approach to commonsense concept extraction and semantic similarity detection. In: Proceedings of the 22nd international conference on world wide web companion. International World Wide Web Conferences Steering Committee; 2013, p. 565\u201370.","DOI":"10.1145\/2487788.2487995"},{"key":"9421_CR42","doi-asserted-by":"crossref","unstructured":"Ravi K, Ravi V. A survey on opinion mining and sentiment analysis: tasks, approaches and applications. Knowl Based Syst. 2015.","DOI":"10.1016\/j.knosys.2015.06.015"},{"key":"9421_CR43","unstructured":"Read J. Recognising affect in text using pointwise-mutual information. Unpubl. M Sc Diss. Univ. Sussex UK; 2004."},{"key":"9421_CR44","unstructured":"Remus R, Quasthoff U, Heyer G. SentiWS-a publicly available German-language resource for sentiment analysis. In: LREC. 2010."},{"key":"9421_CR45","doi-asserted-by":"crossref","unstructured":"Saraee M, Bagheri A. Feature selection methods in Persian sentiment analysis. In: Natural language processing and information systems. Springer; 2013, p. 303\u2013308.","DOI":"10.1007\/978-3-642-38824-8_29"},{"key":"9421_CR46","unstructured":"Seki Y, Evans DK, Ku L-W, Sun L, Chen H\u2013H, Kando N, Lin C-Y. Overview of multilingual opinion analysis task at NTCIR-7. In: Proceedings of the 7th NTCIR workshop meeting on evaluation of information access technologies: information retrieval, question answering, and cross-lingual information access. 2008, p. 185\u2013203."},{"key":"9421_CR47","doi-asserted-by":"crossref","unstructured":"Shi H\u2013X, Li X-J. A sentiment analysis model for hotel reviews based on supervised learning. In: 2011 international conference on machine learning and cybernetics (ICMLC). IEEE; 2011, p. 950\u201354.","DOI":"10.1109\/ICMLC.2011.6016866"},{"issue":"2","key":"9421_CR48","first-page":"25","volume":"5","author":"G Sidorov","year":"2014","unstructured":"Sidorov G. Should syntactic n-grams contain names of syntactic relations? Int J Comput Linguist Appl. 2014;5(2):25\u201347.","journal-title":"Int J Comput Linguist Appl."},{"key":"9421_CR49","doi-asserted-by":"crossref","unstructured":"Sidorov G, Miranda-Jim\u00e9nez S, Viveros-Jim\u00e9nez F, Gelbukh A, Castro-S\u00e1nchez N, Vel\u00e1squez F, D\u00edaz-Rangel I, Su\u00e1rez-Guerra S, Trevi\u00f1o A, Gordon J. Empirical study of opinion mining in Spanish tweets. MICAI 2012. Lect Notes Comput Sci. 2012;7629:1\u201314.","DOI":"10.1007\/978-3-642-37807-2_1"},{"issue":"3","key":"9421_CR50","doi-asserted-by":"crossref","first-page":"853","DOI":"10.1016\/j.eswa.2013.08.015","volume":"41","author":"G Sidorov","year":"2014","unstructured":"Sidorov G, Velasquez F, Stamatatos E, Gelbukh A, Chanona-Hern\u00e1ndez L. Syntactic n-grams as machine learning features for natural language processing. Expert Syst Appl. 2014;41(3):853\u201360.","journal-title":"Expert Syst Appl."},{"key":"9421_CR51","doi-asserted-by":"crossref","unstructured":"Sindhwani V, Melville P. Document-word co-regularization for semi-supervised sentiment analysis. In: Eighth IEEE international conference on data mining, 2008. ICDM\u201908. IEEE; 2008, p. 1025\u201330.","DOI":"10.1109\/ICDM.2008.113"},{"key":"9421_CR52","doi-asserted-by":"crossref","unstructured":"Singh VK, Piryani R, Uddin A, Waila P, et al. Sentiment analysis of textual reviews; Evaluating machine learning, unsupervised and SentiWordNet approaches. In: 2013 5th international conference on knowledge and smart technology (KST). IEEE; 2013, p. 122\u201327.","DOI":"10.1109\/KST.2013.6512800"},{"key":"9421_CR53","unstructured":"Stone PJ, Dunphy DC, Smith MS. The general inquirer: a computer approach to content analysis; 1966."},{"key":"9421_CR54","doi-asserted-by":"crossref","first-page":"2622","DOI":"10.1016\/j.eswa.2007.05.028","volume":"34","author":"S Tan","year":"2008","unstructured":"Tan S, Zhang J. An empirical study of sentiment analysis for Chinese documents. Expert Syst Appl. 2008;34:2622\u20139.","journal-title":"Expert Syst Appl."},{"key":"9421_CR55","first-page":"45","volume":"2","author":"S Tong","year":"2002","unstructured":"Tong S, Koller D. Support vector machine active learning with applications to text classification. J Mach Learn Res. 2002;2:45\u201366.","journal-title":"J Mach Learn Res."},{"key":"9421_CR56","unstructured":"Tromp E. Multilingual sentiment analysis on social media. Master\u2019s Thesis, Dep. Math. Comput. Sci. Eindh. Univ. Technol.; 2011."},{"key":"9421_CR57","doi-asserted-by":"crossref","unstructured":"Wan X. Using bilingual knowledge and ensemble techniques for unsupervised Chinese sentiment analysis. In: Proceedings of the conference on empirical methods in natural language processing. Association for Computational Linguistics; 2008, p. 553\u201361.","DOI":"10.3115\/1613715.1613783"},{"key":"9421_CR58","doi-asserted-by":"crossref","first-page":"8696","DOI":"10.1016\/j.eswa.2011.01.077","volume":"38","author":"S Wang","year":"2011","unstructured":"Wang S, Li D, Song X, Wei Y, Li H. A feature selection method based on improved fisher\u2019s discriminant ratio for text sentiment classification. Expert Syst Appl. 2011;38:8696\u2013702.","journal-title":"Expert Syst Appl."},{"key":"9421_CR59","doi-asserted-by":"crossref","unstructured":"Wiebe J, Mihalcea R. Word sense and subjectivity. In: Proceedings of the 21st international conference on computational linguistics and the 44th annual meeting of the Association for Computational Linguistics. Association for Computational Linguistics; 2006, p. 1065\u201372.","DOI":"10.3115\/1220175.1220309"},{"issue":"4","key":"9421_CR60","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1142\/S1793840608001949","volume":"21","author":"K-F Wong","year":"2008","unstructured":"Wong K-F, Xia Y, Xu R, Wu M, Li W. Pattern-based opinion mining for stock market trend prediction. Int J Comput Process Orient Lang. 2008;21(4):347\u201361.","journal-title":"Int J Comput Process Orient Lang."},{"issue":"3","key":"9421_CR61","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1007\/s12559-014-9298-4","volume":"7","author":"Y Xia","year":"2015","unstructured":"Xia Y, Cambria E, Hussain A, Zhao H. Word polarity disambiguation using Bayesian model and opinion-level features. Cogn Comput. 2015;7(3):369\u201380.","journal-title":"Cogn Comput."},{"issue":"4","key":"9421_CR62","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1142\/S1793840608001925","volume":"21","author":"Y Xia","year":"2008","unstructured":"Xia Y, Wang L, Wong K-F. Sentiment vector space model for lyric-based song sentiment classification. Int J Comput Process Orient Lang. 2008;21(4):331\u201345.","journal-title":"Int J Comput Process Orient Lang."},{"key":"9421_CR63","doi-asserted-by":"crossref","unstructured":"Xia Y, Zhao T, Yao J, Jin P. Measuring Chinese-English crosslingual word similarity with HowNet and parallel corpus. In: Computational linguistics and intelligent text processing, 12th international conference, CICLing 2011, vol. 2. 2011, p. 221\u201333.","DOI":"10.1007\/978-3-642-19437-5_18"},{"key":"9421_CR64","doi-asserted-by":"crossref","unstructured":"Xia Y, Li X, Cambria E, Hussain A. A localization toolkit for SenticNet. In: 2014 IEEE international conference on data mining workshop (ICDMW). 2014, p. 403\u20138.","DOI":"10.1109\/ICDMW.2014.179"},{"key":"9421_CR65","unstructured":"Xia R, Zong C. Exploring the use of word relation features for sentiment classification. In: Proceedings of the 23rd international conference on computational linguistics: posters. Association for Computational Linguistics; 2010, p. 1336\u201344."},{"key":"9421_CR66","first-page":"1007","volume":"3","author":"Y Xu","year":"2007","unstructured":"Xu Y, Jones GJ, Li J, Wang B, Sun C. A study on mutual information-based feature selection for text categorization. J Comput Inf Syst. 2007;3:1007\u201312.","journal-title":"J Comput Inf Syst."},{"key":"9421_CR67","doi-asserted-by":"crossref","unstructured":"Xu R, Wong K-F, Lu Q, Xia Y, Li W. Learning knowledge from relevant webpage for opinion analysis. In: IEEE\/WIC\/ACM international conference on web intelligence and intelligent agent technology, WI-IAT \u201808. 2008, p. 307\u201313.","DOI":"10.1109\/WIIAT.2008.388"},{"key":"9421_CR68","unstructured":"Yang Y, Pedersen JO. A comparative study on feature selection in text categorization. In: ICML; 1997, p. 412\u201320."},{"key":"9421_CR69","doi-asserted-by":"crossref","unstructured":"Ye Q, Shi W, Li Y. Sentiment classification for movie reviews in Chinese by improved semantic oriented approach. In: Proceedings of the 39th annual Hawaii international conference on system sciences, HICSS\u201906. IEEE; 2006, p. 53b\u201353b.","DOI":"10.1109\/HICSS.2006.432"},{"key":"9421_CR70","doi-asserted-by":"crossref","first-page":"6527","DOI":"10.1016\/j.eswa.2008.07.035","volume":"36","author":"Q Ye","year":"2009","unstructured":"Ye Q, Zhang Z, Law R. Sentiment classification of online reviews to travel destinations by supervised machine learning approaches. Expert Syst Appl. 2009;36:6527\u201335.","journal-title":"Expert Syst Appl."},{"key":"9421_CR71","doi-asserted-by":"crossref","unstructured":"Zagibalov T, Carroll J. Automatic seed word selection for unsupervised sentiment classification of Chinese text. In: Proceedings of the 22nd international conference on computational linguistics, vol. 1. Association for Computational Linguistics; 2008, p. 1073\u201380.","DOI":"10.3115\/1599081.1599216"},{"key":"9421_CR72","doi-asserted-by":"crossref","unstructured":"Zhang Z-Q, Li Y-J, Ye Q, Law R. Sentiment classification for Chinese product reviews using an unsupervised Internet-based method. In: International conference on management science and engineering, 2008. ICMSE 2008. 15th Annual conference proceedings. IEEE; 2008, p. 3\u20139.","DOI":"10.1109\/ICMSE.2008.4668885"},{"key":"9421_CR73","doi-asserted-by":"crossref","unstructured":"Zhu S, Xu B, Zheng D, Zhao T. Chinese microblog sentiment analysis based on semi-supervised learning. In: Semantic web and web science. New York: Springer; 2013, p. 325\u201331.","DOI":"10.1007\/978-1-4614-6880-6_28"},{"issue":"2","key":"9421_CR74","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1109\/MIS.2016.31","volume":"31","author":"E Cambria","year":"2016","unstructured":"Cambria E. Affective computing and sentiment analysis. IEEE Intell Syst. 2016;31(2):102\u20137.","journal-title":"IEEE Intell Syst."},{"key":"9421_CR75","isbn-type":"print","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-23654-4","volume-title":"Sentic computing: a common-sense-based framework for concept-level sentiment analysis","author":"E Cambria","year":"2015","unstructured":"Cambria E, Hussain A. Sentic computing: a common-sense-based framework for concept-level sentiment analysis. Cham: Springer; 2015. ISBN 978-3-319-23654-4.","ISBN":"https:\/\/id.crossref.org\/isbn\/9783319236544"},{"key":"9421_CR76","doi-asserted-by":"crossref","unstructured":"Poria S, Gelbukh A, Cambria E, Das D, Bandyopadhyay S. Enriching SenticNet polarity scores through semi-supervised fuzzy clustering. In: Proceedings of ICDM, 2012, p. 709\u2013716.","DOI":"10.1109\/ICDMW.2012.142"},{"key":"9421_CR77","doi-asserted-by":"crossref","unstructured":"Poria S, Gelbukh A, Cambria E, Yang P, Hussain A, Durrani T. Merging SenticNet and WordNet-affect emotion lists for sentiment analysis. In: Proceedings of ICSP, 2012, p. 1251\u20131255.","DOI":"10.1109\/ICoSP.2012.6491803"},{"issue":"3","key":"9421_CR78","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1109\/MIS.2013.68","volume":"28","author":"E Cambria","year":"2013","unstructured":"Cambria E, Schuller B, Liu B, Wang H, Havasi C. Statistical approaches to concept-level sentiment analysis. IEEE Intell Syst. 2013;28(3):6\u20139.","journal-title":"IEEE Intell Syst."},{"key":"9421_CR79","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.neucom.2015.01.095","volume":"174","author":"S Poria","year":"2016","unstructured":"Poria S, Cambria E, Howard N, Huang G-B, Hussain A. Fusing audio, visual and textual clues for sentiment analysis from multimodal content. Neurocomputing. 2016;174:50\u20139.","journal-title":"Neurocomputing"},{"key":"9421_CR80","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.neunet.2014.10.005","volume":"63","author":"S Poria","year":"2015","unstructured":"Poria S, Cambria E, Hussain A, Huang G-B. Towards an intelligent framework for multimodal affective data analysis. Neural Netw. 2015;63:104\u201316.","journal-title":"Neural Netw"},{"key":"9421_CR81","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.knosys.2014.07.002","volume":"69","author":"E Cambria","year":"2014","unstructured":"Cambria E, Wang H, White B. Guest editorial: big social data analysis. Knowl Based Syst. 2014;69:1\u20132.","journal-title":"Knowl Based Syst"}],"container-title":["Cognitive Computation"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12559-016-9421-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12559-016-9421-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12559-016-9421-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T05:46:58Z","timestamp":1749016018000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12559-016-9421-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,7,30]]},"references-count":81,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2016,8]]}},"alternative-id":["9421"],"URL":"https:\/\/doi.org\/10.1007\/s12559-016-9421-9","relation":{},"ISSN":["1866-9956","1866-9964"],"issn-type":[{"value":"1866-9956","type":"print"},{"value":"1866-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,7,30]]}}}