{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T02:34:12Z","timestamp":1775010852618,"version":"3.50.1"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2019,2,6]],"date-time":"2019-02-06T00:00:00Z","timestamp":1549411200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,2,6]],"date-time":"2019-02-06T00:00:00Z","timestamp":1549411200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N00014-11-1-0934"],"award-info":[{"award-number":["N00014-11-1-0934"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2020,4]]},"DOI":"10.1007\/s00521-019-04048-5","type":"journal-article","created":{"date-parts":[[2019,2,6]],"date-time":"2019-02-06T10:49:39Z","timestamp":1549450179000},"page":"3535-3548","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Application of soft computing techniques for estimating emotional\u00a0states expressed in Twitter\u00ae time series data"],"prefix":"10.1007","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0974-5941","authenticated-orcid":false,"given":"Erman","family":"\u00c7ak\u0131t","sequence":"first","affiliation":[]},{"given":"Waldemar","family":"Karwowski","sequence":"additional","affiliation":[]},{"given":"Les","family":"Servi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,2,6]]},"reference":[{"issue":"3","key":"4048_CR1","doi-asserted-by":"publisher","first-page":"179","DOI":"10.7763\/IJSSH.2016.V6.640","volume":"6","author":"DN Prata","year":"2016","unstructured":"Prata DN, Soares KP, Silva MA, Trevisan DQ, Letouze P (2016) Social data analysis of Brazilian\u2019s mood from Twitter. Int J Soc Sci Humanit 6(3):179","journal-title":"Int J Soc Sci Humanit"},{"key":"4048_CR2","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1016\/j.orl.2013.07.008","volume":"41","author":"LD Servi","year":"2013","unstructured":"Servi LD (2013) Analyzing social media data having discontinuous underlying dynamics. Oper Res Lett 41:581\u2013585. https:\/\/doi.org\/10.1016\/j.orl.2013.07.008","journal-title":"Oper Res Lett"},{"issue":"6","key":"4048_CR3","doi-asserted-by":"publisher","first-page":"983","DOI":"10.1177\/0018720812467459","volume":"54","author":"W Karwowski","year":"2012","unstructured":"Karwowski W (2012) A review of human factors challenges of complex adaptive systems: discovering and understanding chaos in human performance. Hum Factors 54(6):983\u2013995","journal-title":"Hum Factors"},{"key":"4048_CR4","unstructured":"Twitter (2017) Twitter analytics. https:\/\/analytics.twitter.com\/ . Accessed 13 Dec 2017"},{"key":"4048_CR5","volume-title":"The development and psychometric properties of LIWC2015","author":"JW Pennebaker","year":"2015","unstructured":"Pennebaker JW, Boyd RL, Jordan K, Blackburn K (2015) The development and psychometric properties of LIWC2015. University of Texas at Austin, Austin"},{"key":"4048_CR6","volume-title":"Linguistic inquiry and word count: LIWC2007\u2014operator\u2019s manual","author":"JW Pennebaker","year":"2007","unstructured":"Pennebaker JW, Booth RE, Francis ME (2007) Linguistic inquiry and word count: LIWC2007\u2014operator\u2019s manual. LIWC.net, Austin"},{"key":"4048_CR7","volume-title":"The development and psychometric properties of LIWC2007","author":"JW Pennebaker","year":"2007","unstructured":"Pennebaker JW, Chung CK, Ireland M, Gonzales A, Booth RJ (2007) The development and psychometric properties of LIWC2007. LIWC.net, Austin"},{"key":"4048_CR8","doi-asserted-by":"crossref","unstructured":"Kumar M, Dredze M, Coppersmith G, De Choudhury M (2015) Detecting changes in suicide content manifested in social media following celebrity suicides. In: 26th ACM conference on hypertext & social media; September 01\u201304, 2015; Guzelyurt, Northern Cyprus. ACM Press, New York, pp 85\u201394","DOI":"10.1145\/2700171.2791026"},{"issue":"24","key":"4048_CR9","doi-asserted-by":"publisher","first-page":"8788","DOI":"10.1073\/pnas.1320040111","volume":"111","author":"AD Kramer","year":"2014","unstructured":"Kramer AD, Guillory JE, Hancock JT (2014) Experimental evidence of massive-scale emotional contagion through social networks. Proc Natl Acad Sci USA 111(24):8788\u20138790. https:\/\/doi.org\/10.1073\/pnas.1320040111","journal-title":"Proc Natl Acad Sci USA"},{"key":"4048_CR10","unstructured":"De Choudhury M, Gamon M, Counts S, Horvitz E (2013) Predicting depression via social media. In: 7th international AAAI conference on weblogs and social media (ICWSM); July 8\u201311, 2013, Boston, USA"},{"key":"#cr-split#-4048_CR11.1","doi-asserted-by":"crossref","unstructured":"Wang Y, Kraut R, Levine J (2012) To stay or leave? The relationship of emotional and informational support to commitment in online health support groups. In: ACM 2012 conference on computer supported cooperative work","DOI":"10.1145\/2145204.2145329"},{"key":"#cr-split#-4048_CR11.2","unstructured":"February 11-15, 2012. ACM Press, Seattle, pp 833-842"},{"key":"#cr-split#-4048_CR12.1","doi-asserted-by":"crossref","unstructured":"Hancock J, Gee K, Ciaccio K, Lin J (2008) I'm sad you're sad: emotional contagion in CMC. 2008 In: ACM conference on computer supported cooperative work","DOI":"10.1145\/1460563.1460611"},{"key":"#cr-split#-4048_CR12.2","unstructured":"November 08-12, 2008. ACM Press, San Diego, pp 295-298"},{"key":"#cr-split#-4048_CR13.1","doi-asserted-by":"crossref","unstructured":"Hancock J, Landrigan C, Silver C (2007) Expressing emotion in text-based communication. In: SIGCHI conference on human factors in computing systems","DOI":"10.1145\/1240624.1240764"},{"key":"#cr-split#-4048_CR13.2","unstructured":"April 28-May 03, 2007. ACM Press, San Jose, CA, pp 929-932"},{"key":"4048_CR14","doi-asserted-by":"crossref","unstructured":"Mogadala A, Varma V (2012) Twitter user behavior understanding with mood transition prediction. In: Proceedings of the 2012 workshop on data-driven user behavioral modelling and mining from social media ACM, pp 31\u201334","DOI":"10.1145\/2390131.2390145"},{"key":"4048_CR15","doi-asserted-by":"crossref","unstructured":"Bing L, Chan KC (2014) A fuzzy logic approach for opinion mining on large scale twitter data. In: Proceedings of the 2014 IEEE\/ACM 7th international conference on utility and cloud computing. IEEE Computer Society, pp 652\u2013657","DOI":"10.1109\/UCC.2014.105"},{"key":"4048_CR16","doi-asserted-by":"crossref","unstructured":"Dash AK, Rout JK, Jena SK (2016) Harnessing twitter for automatic sentiment identification using machine learning techniques. In: Proceedings of 3rd international conference on advanced computing, networking and informatics. Springer, New Delhi, pp 507\u2013514","DOI":"10.1007\/978-81-322-2529-4_53"},{"key":"4048_CR17","doi-asserted-by":"crossref","unstructured":"Wang N, Varghese B, Donnelly PD (2016) A machine learning analysis of Twitter sentiment to the Sandy Hook shootings.\u00a0arXiv preprint arXiv:1609.00536","DOI":"10.1109\/eScience.2016.7870913"},{"issue":"6","key":"4048_CR18","first-page":"19","volume":"8","author":"MR Huq","year":"2017","unstructured":"Huq MR, Ali A, Rahman A (2017) Sentiment analysis on Twitter data using KNN and SVM. Int J Adv Comput Sci Appl 8(6):19\u201325","journal-title":"Int J Adv Comput Sci Appl"},{"key":"4048_CR19","unstructured":"Mac Kim S (2011). Recognising emotions and sentiments in text. Ph.D. thesis, University of Sydney"},{"key":"4048_CR20","doi-asserted-by":"crossref","unstructured":"Asur S, Huberman BA (2010). Predicting the future with social media. In: 2010 IEEE\/WIC\/ACM international conference on, web intelligence and intelligent agent technology (WI-IAT), vol 1. IEEE, pp 492\u2013499","DOI":"10.1109\/WI-IAT.2010.63"},{"key":"4048_CR21","doi-asserted-by":"crossref","unstructured":"Gilbert E, Karahalios K (2010) Widespread worry and the stock market. In: ICWSM, pp 59\u201365","DOI":"10.1609\/icwsm.v4i1.14023"},{"issue":"1","key":"4048_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jocs.2010.12.007","volume":"2","author":"J Bollen","year":"2011","unstructured":"Bollen J, Mao H, Zeng X (2011) Twitter mood predicts the stock market. J Comput Sci 2(1):1\u20138","journal-title":"J Comput Sci"},{"key":"4048_CR23","unstructured":"Chen GH, Nikolov S, Shah D (2013) A latent source model for nonparametric time series classification. In: Advances in neural information processing systems, vol. 26. pp 1088\u20131096"},{"issue":"7","key":"4048_CR24","doi-asserted-by":"publisher","first-page":"1399","DOI":"10.1002\/asi.22844","volume":"64","author":"Z Ma","year":"2013","unstructured":"Ma Z, Sun A, Cong G (2013) On predicting the popularity of newly emerging hashtags in twitter. J Assoc Inf Sci Technol 64(7):1399\u20131410","journal-title":"J Assoc Inf Sci Technol"},{"key":"4048_CR25","doi-asserted-by":"crossref","unstructured":"Kong S, Mei Q, Feng L, Ye F, Zhao Z (2014) Predicting bursts and popularity of hashtags in real-time. In: Proceedings of the 37th international ACM SIGIR conference on research & development in information retrieval. ACM, pp 927\u2013930","DOI":"10.1145\/2600428.2609476"},{"issue":"4","key":"4048_CR26","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1109\/TCSS.2014.2384216","volume":"1","author":"LD Servi","year":"2014","unstructured":"Servi LD, Elson SE (2014) A mathematical approach to identifying and forecasting shifts in the mood of social media users. IEEE Trans Comput Soc Syst 1(4):180\u2013190","journal-title":"IEEE Trans Comput Soc Syst"},{"key":"4048_CR27","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1016\/0165-0114(93)90372-O","volume":"54","author":"Q Song","year":"1993","unstructured":"Song Q, Chissom BS (1993) Fuzzy time series and its models. Fuzzy Sets Syst 54:269\u2013277","journal-title":"Fuzzy Sets Syst"},{"key":"4048_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/0165-0114(93)90355-L","volume":"54","author":"Q Song","year":"1993","unstructured":"Song Q, Chissom BS (1993) Forecasting enrollments with fuzzy time series\u2014part I. Fuzzy Sets Syst 54:1\u201310","journal-title":"Fuzzy Sets Syst"},{"issue":"3","key":"4048_CR29","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1016\/0165-0114(95)00220-0","volume":"81","author":"SM Chen","year":"1996","unstructured":"Chen SM (1996) Forecasting enrollments based on fuzzy time series. Fuzzy Sets Syst 81(3):311\u2013319","journal-title":"Fuzzy Sets Syst"},{"issue":"7","key":"4048_CR30","doi-asserted-by":"publisher","first-page":"10589","DOI":"10.1016\/j.eswa.2009.02.057","volume":"36","author":"E Egrioglu","year":"2009","unstructured":"Egrioglu E, Aladag CH, Yolcu U, Uslu VR, Basaran MA (2009) A new approach based on artificial neural networks for high order multivariate fuzzy time series. Expert Syst Appl 36(7):10589\u201310594","journal-title":"Expert Syst Appl"},{"issue":"5","key":"4048_CR31","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1109\/21.256541","volume":"23","author":"JSR Jang","year":"1993","unstructured":"Jang JSR (1993) ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans Syst Man Cybern 23(5):665\u2013685","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"4048_CR32","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1016\/j.asoc.2014.09.028","volume":"25","author":"E \u00c7ak\u0131t","year":"2014","unstructured":"\u00c7ak\u0131t E, Karwowski W, Bozkurt H, Ahram T, Thompson W, Mikusinski P, Lee G (2014) Investigating the relationship between adverse events and infrastructure development in an active war theater using soft computing techniques. Appl Soft Comput 25:204\u2013214","journal-title":"Appl Soft Comput"},{"key":"4048_CR33","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/j.asoc.2005.02.001","volume":"6","author":"G Zaheeruddin","year":"2006","unstructured":"Zaheeruddin G (2006) A neuro-fuzzy approach for prediction of human work efficiency in noisy environment. Appl Soft Comput 6:283\u2013294","journal-title":"Appl Soft Comput"},{"issue":"2","key":"4048_CR34","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1007\/s10462-016-9497-3","volume":"48","author":"E \u00c7ak\u0131t","year":"2017","unstructured":"\u00c7ak\u0131t E, Karwowski W (2017) Predicting the occurrence of adverse events using an adaptive neuro-fuzzy inference system (ANFIS) approach with the help of ANFIS input selection. Artif Intell Rev 48(2):139\u2013155","journal-title":"Artif Intell Rev"},{"key":"4048_CR35","volume-title":"Foundations of neuro-fuzzy systems","author":"D Nauck","year":"1997","unstructured":"Nauck D, Klawonn F, Kruse R (1997) Foundations of neuro-fuzzy systems. Wiley, New York"},{"issue":"3","key":"4048_CR36","doi-asserted-by":"publisher","first-page":"1247","DOI":"10.5194\/gmd-7-1247-2014","volume":"7","author":"T Chai","year":"2014","unstructured":"Chai T, Draxler RR (2014) Root mean square error (RMSE) or mean absolute error (MAE)? Arguments against avoiding RMSE in the literature. Geosci Model Dev 7(3):1247\u20131250","journal-title":"Geosci Model Dev"},{"key":"4048_CR37","unstructured":"Rantala J, Koivisto H (2002) Optimised subtractive clustering for neuro-fuzzy models. In: 3rd WSEAS international conference on fuzzy sets and fuzzy systems"},{"key":"4048_CR38","volume-title":"Neuro-fuzzy and fuzzy-neural applications in telecommunications","year":"2004","unstructured":"Stavroulakis P (ed) (2004) Neuro-fuzzy and fuzzy-neural applications in telecommunications. Springer, Berlin"},{"issue":"2","key":"4048_CR39","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1007\/s00521-015-2057-y","volume":"28","author":"H Rezaei","year":"2017","unstructured":"Rezaei H, Rahmati M, Modarress H (2017) Application of ANFIS and MLR models for prediction of methane adsorption on X and Y faujasite zeolites: effect of cations substitution. Neural Comput Appl 28(2):301\u2013312","journal-title":"Neural Comput Appl"},{"key":"4048_CR40","unstructured":"Lampos V, Lansdall-Welfare T, Araya R, Cristianini N (2013) Analysing mood patterns in the united kingdom through twitter content. arXiv preprint arXiv:1304.5507"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-019-04048-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-019-04048-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-019-04048-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,13]],"date-time":"2023-09-13T12:17:46Z","timestamp":1694607466000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-019-04048-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,6]]},"references-count":43,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2020,4]]}},"alternative-id":["4048"],"URL":"https:\/\/doi.org\/10.1007\/s00521-019-04048-5","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,2,6]]},"assertion":[{"value":"24 January 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 January 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 February 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}