{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T19:47:00Z","timestamp":1778010420125,"version":"3.51.4"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2021,11,18]],"date-time":"2021-11-18T00:00:00Z","timestamp":1637193600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,11,18]],"date-time":"2021-11-18T00:00:00Z","timestamp":1637193600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1007\/s00500-021-06444-3","type":"journal-article","created":{"date-parts":[[2021,11,18]],"date-time":"2021-11-18T17:04:09Z","timestamp":1637255049000},"page":"3059-3073","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["High performing sentiment analysis based on fast Fourier transform over temporal intuitionistic fuzzy value"],"prefix":"10.1007","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3889-5669","authenticated-orcid":false,"given":"Basanti","family":"Pal Nandi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amita","family":"Jain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Devendra Kumar","family":"Tayal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Poonam Ahuja","family":"Narang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,11,18]]},"reference":[{"key":"6444_CR1","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1016\/j.knosys.2016.05.040","volume":"108","author":"O Appel","year":"2016","unstructured":"Appel O, Chiclana F, Carter J, Fujita H (2016) A hybrid approach to the sentiment analysis problem at the sentence level. Knowl-Based Syst 108:110\u2013124","journal-title":"Knowl-Based Syst"},{"key":"6444_CR2","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1016\/j.eswa.2017.02.002","volume":"77","author":"O Araque","year":"2017","unstructured":"Araque O, Corcuera-Platas I, Sanchez-Rada JF, Iglesias CA (2017) Enhancing deep learning sentiment analysis with ensemble techniques in social applications. Expert Syst Appl 77:236\u2013246","journal-title":"Expert Syst Appl"},{"issue":"1","key":"6444_CR3","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/S0165-0114(86)80034-3","volume":"20","author":"KT Atanassov","year":"1986","unstructured":"Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87\u201396","journal-title":"Fuzzy Sets Syst"},{"key":"6444_CR4","doi-asserted-by":"crossref","unstructured":"Atanassov, K. T. (2001). Temporal Intuitionistic fuzzy relations. In: Flexible query answering systems. Physica, Heidelberg, pp 153\u2013160","DOI":"10.1007\/978-3-7908-1834-5_14"},{"key":"6444_CR5","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1016\/j.future.2020.08.005","volume":"115","author":"ME Basiri","year":"2021","unstructured":"Basiri ME, Nemati S, Abdar M, Cambria E, Acharya UR (2021) ABCDM: an attention-based bidirectional CNN-RNN deep model for sentiment analysis. Future Gener Comput Syst 115:279\u2013294","journal-title":"Future Gener Comput Syst"},{"issue":"1","key":"6444_CR6","doi-asserted-by":"publisher","first-page":"102435","DOI":"10.1016\/j.ipm.2020.102435","volume":"58","author":"RK Behera","year":"2021","unstructured":"Behera RK, Jena M, Rath SK, Misra S (2021) Co-LSTM: Convolutional LSTM model for sentiment analysis in social big data. Inf Process Manag 58(1):102435","journal-title":"Inf Process Manag"},{"key":"6444_CR7","doi-asserted-by":"publisher","first-page":"114629","DOI":"10.1016\/j.eswa.2021.114629","volume":"171","author":"X Cai","year":"2021","unstructured":"Cai X, Zhao H, Shang S, Zhou Y, Deng W, Chen H, Deng W (2021) An improved quantum-inspired cooperative co-evolution algorithm with muli-strategy and its application. Expert Syst Appl 171:114629","journal-title":"Expert Syst Appl"},{"key":"6444_CR8","doi-asserted-by":"crossref","unstructured":"Coletta LFS, da Silva NFF, Hruschka ER, Hruschka ER (2014) Combining classification and clustering for tweet sentiment analysis. In:\u00a02014 Brazilian conference on intelligent systems. IEEE, pp 210\u2013215","DOI":"10.1109\/BRACIS.2014.46"},{"key":"6444_CR9","doi-asserted-by":"crossref","unstructured":"Dara R, Panduga U (2015) Telugu handwritten isolated characters recognition using two dimensional fast fourier transform and support vector machine.\u00a0Int J Comput Appl\u00a0116(5)","DOI":"10.5120\/20330-0820"},{"key":"6444_CR10","doi-asserted-by":"crossref","unstructured":"Denecke K (2008) Using sentiwordnet for multilingual sentiment analysis. In:\u00a02008 IEEE 24th international conference on data engineering workshop. IEEE, pp 507\u2013512","DOI":"10.1109\/ICDEW.2008.4498370"},{"key":"6444_CR11","unstructured":"Deng W, Xu J, Gao XZ, Zhao H (2020) An enhanced MSIQDE algorithm with novel multiple strategies for global optimization problems.\u00a0IEEE Trans Syst Man Cybern Syst"},{"key":"6444_CR12","doi-asserted-by":"crossref","unstructured":"Deng W, Xu J, Zhao H, Song Y (2020) A novel gate resource allocation method using improved PSO-based QEA.\u00a0IEEE Trans Intell Transp Syst","DOI":"10.1109\/TITS.2020.3025796"},{"key":"6444_CR13","doi-asserted-by":"publisher","first-page":"107080","DOI":"10.1016\/j.knosys.2021.107080","volume":"224","author":"W Deng","year":"2021","unstructured":"Deng W, Shang S, Cai X, Zhao H, Zhou Y, Chen H, Deng W (2021) Quantum differential evolution with cooperative coevolution framework and hybrid mutation strategy for large scale optimization. Knowl-Based Syst 224:107080","journal-title":"Knowl-Based Syst"},{"issue":"2","key":"6444_CR14","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1007\/s12559-014-9308-6","volume":"7","author":"M Dragoni","year":"2015","unstructured":"Dragoni M, Tettamanzi AG, da Costa Pereira C (2015) Propagating and aggregating fuzzy polarities for concept-level sentiment analysis. Cogn Comput 7(2):186\u2013197","journal-title":"Cogn Comput"},{"key":"6444_CR15","doi-asserted-by":"crossref","unstructured":"Dutta AK, Sait ARW (2012). An application of intuitionistic fuzzy in routing networks.\u00a0Editor Pref\u00a03(6)","DOI":"10.14569\/IJACSA.2012.030621"},{"issue":"2","key":"6444_CR16","doi-asserted-by":"publisher","first-page":"210","DOI":"10.3390\/jmse9020210","volume":"9","author":"S Guo","year":"2021","unstructured":"Guo S, Zhang X, Du Y, Zheng Y, Cao Z (2021) Path planning of coastal ships based on optimized DQN reward function. J Mar Sci Eng 9(2):210","journal-title":"J Mar Sci Eng"},{"key":"6444_CR17","doi-asserted-by":"crossref","unstructured":"Hassan A, Mahmood A (2017) Deep learning approach for sentiment analysis of short texts. In:\u00a02017 3rd international conference on control, automation and robotics (ICCAR). IEEE, pp 705\u2013710","DOI":"10.1109\/ICCAR.2017.7942788"},{"issue":"2","key":"6444_CR18","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/s00500-014-1264-2","volume":"19","author":"CW Huang","year":"2015","unstructured":"Huang CW, Lin KP, Wu MC, Hung KC, Liu GS, Jen CH (2015) Intuitionistic fuzzy c-means clustering algorithm with neighborhood attraction in segmenting medical image. Soft Comput 19(2):459\u2013470","journal-title":"Soft Comput"},{"issue":"1","key":"6444_CR19","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s00500-019-04209-7","volume":"24","author":"A Jain","year":"2020","unstructured":"Jain A, Nandi BP, Gupta C, Tayal DK (2020) Senti-NSetPSO: large-sized document-level sentiment analysis using Neutrosophic Set and particle swarm optimization. Soft Comput 24(1):3\u201315","journal-title":"Soft Comput"},{"key":"6444_CR20","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-030-34135-0_1","volume-title":"Hybrid intelligent systems in control, Pattern Recognition and Medicine","author":"A Jain","year":"2020","unstructured":"Jain A, Nandi BP (2020) Intuitionistic and neutrosophic fuzzy logic: basic concepts and applications. Hybrid intelligent systems in control, Pattern Recognition and Medicine. Springer, Cham, pp 3\u201318"},{"key":"6444_CR21","doi-asserted-by":"crossref","unstructured":"Jefferson C, Liu H, Cocea M (2017) Fuzzy approach for sentiment analysis. In: 2017 IEEE international conference on fuzzy systems (FUZZ-IEEE). IEEE, pp 1\u20136","DOI":"10.1109\/FUZZ-IEEE.2017.8015577"},{"issue":"6","key":"6444_CR22","doi-asserted-by":"publisher","first-page":"1186","DOI":"10.1007\/s12083-018-0652-2","volume":"11","author":"YS Jeong","year":"2018","unstructured":"Jeong YS, Shin SS (2018) Fast fourier transform based efficient data processing technique for big data processing speed enhancement in P2P computing environment. Peer-to-Peer Netw Appl 11(6):1186\u20131196","journal-title":"Peer-to-Peer Netw Appl"},{"key":"6444_CR23","doi-asserted-by":"crossref","unstructured":"Ju H, Yu H (2018) Sentiment classification with convolutional neural network using multiple word representations. In: Proceedings of the 12th international conference on ubiquitous information management and communication. ACM, p 9","DOI":"10.1145\/3164541.3164610"},{"key":"6444_CR24","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1016\/j.eswa.2017.07.019","volume":"94","author":"M Kang","year":"2018","unstructured":"Kang M, Ahn J, Lee K (2018) Opinion mining using ensemble text hidden Markov models for text classification. Expert Syst Appl 94:218\u2013227","journal-title":"Expert Syst Appl"},{"key":"6444_CR25","first-page":"79","volume-title":"Cognitive science and artificial intelligence","author":"BV Krishna","year":"2018","unstructured":"Krishna BV, Pandey AK, Kumar AS (2018) Feature based opinion mining and sentiment analysis using fuzzy logic. Cognitive science and artificial intelligence. Springer, Singapore, pp 79\u201389"},{"key":"6444_CR26","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1016\/j.eswa.2017.03.042","volume":"80","author":"Y Liu","year":"2017","unstructured":"Liu Y, Bi JW, Fan ZP (2017) Multi-class sentiment classification: the experimental comparisons of feature selection and machine learning algorithms. Expert Syst Appl 80:323\u2013339","journal-title":"Expert Syst Appl"},{"key":"6444_CR27","doi-asserted-by":"crossref","unstructured":"Liu B, Blasch E, Chen Y, Shen D, Chen G (2013) Scalable sentiment classification for big data analysis using naive bayes classifier. In: 2013 IEEE international conference on big data. IEEE, pp 99\u2013104","DOI":"10.1109\/BigData.2013.6691740"},{"key":"6444_CR28","doi-asserted-by":"crossref","unstructured":"Nagarajan SM, Gandhi UD (2018) Classifying streaming of Twitter data based on sentiment analysis using hybridization.\u00a0Neural Comput Appl 1\u20139","DOI":"10.1007\/s00521-018-3476-3"},{"key":"6444_CR29","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.future.2020.06.050","volume":"113","author":"U Naseem","year":"2020","unstructured":"Naseem U, Razzak I, Musial K, Imran M (2020) Transformer based deep intelligent contextual embedding for twitter sentiment analysis. Future Gener Comput Syst 113:58\u201369","journal-title":"Future Gener Comput Syst"},{"key":"6444_CR30","unstructured":"Ohana B, Tierney B (2009) Sentiment classification of reviews using SentiWordNet. In:\u00a09th. it & t conference, vol 13. pp 18\u201330"},{"issue":"3","key":"6444_CR31","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1109\/MCAS.2016.2583681","volume":"16","author":"M Parchami","year":"2016","unstructured":"Parchami M, Zhu WP, Champagne B, Plourde E (2016) Recent developments in speech enhancement in the short-time Fourier transform domain. IEEE Circ Syst Mag 16(3):45\u201377","journal-title":"IEEE Circ Syst Mag"},{"issue":"3","key":"6444_CR32","doi-asserted-by":"publisher","first-page":"717","DOI":"10.1007\/s10489-016-0858-z","volume":"46","author":"VN Phu","year":"2017","unstructured":"Phu VN, Dat ND, Tran VTN, Chau VTN, Nguyen TA (2017) Fuzzy C-means for english sentiment classification in a distributed system. Appl Intell 46(3):717\u2013738","journal-title":"Appl Intell"},{"key":"6444_CR33","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1016\/j.future.2020.01.005","volume":"106","author":"GA Ruz","year":"2020","unstructured":"Ruz GA, Henr\u00edquez PA, Mascare\u00f1o A (2020) Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers. Futur Gener Comput Syst 106:92\u2013104","journal-title":"Futur Gener Comput Syst"},{"issue":"1","key":"6444_CR34","first-page":"1","volume":"17","author":"F Salvetti","year":"2004","unstructured":"Salvetti F, Lewis S, Reichenbach C (2004) Automatic opinion polarity classification of movie reviews. Colo Res Linguist 17(1):1","journal-title":"Colo Res Linguist"},{"issue":"4","key":"6444_CR35","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1145\/2432546.2432552","volume":"12","author":"A Sharma","year":"2012","unstructured":"Sharma A, Dey S (2012) A document-level sentiment analysis approach using artificial neural network and sentiment lexicons. ACM SIGAPP Appl Comput Rev 12(4):67\u201375","journal-title":"ACM SIGAPP Appl Comput Rev"},{"key":"6444_CR36","doi-asserted-by":"publisher","first-page":"105572","DOI":"10.1016\/j.knosys.2020.105572","volume":"194","author":"C Song","year":"2020","unstructured":"Song C, Wang XK, Cheng PF, Wang JQ, Li L (2020) SACPC: A framework based on probabilistic linguistic terms for short text sentiment analysis. Knowl-Based Syst 194:105572","journal-title":"Knowl-Based Syst"},{"key":"6444_CR37","doi-asserted-by":"crossref","unstructured":"Tang D, Qin B, Liu T (2016) Aspect level sentiment classification with deep memory network.\u00a0arXiv preprint http:\/\/arxiv.org\/abs\/1605.08900","DOI":"10.18653\/v1\/D16-1021"},{"issue":"3","key":"6444_CR38","doi-asserted-by":"publisher","first-page":"805","DOI":"10.1007\/s10115-017-1055-z","volume":"53","author":"A Tripathy","year":"2017","unstructured":"Tripathy A, Anand A, Rath SK (2017) Document-level sentiment classification using hybrid machine learning approach. Knowl Inf Syst 53(3):805\u2013831","journal-title":"Knowl Inf Syst"},{"key":"6444_CR39","doi-asserted-by":"publisher","first-page":"112834","DOI":"10.1016\/j.eswa.2019.112834","volume":"138","author":"S Vashishtha","year":"2019","unstructured":"Vashishtha S, Susan S (2019) Fuzzy rule based unsupervised sentiment analysis from social media posts. Expert Syst Appl 138:112834","journal-title":"Expert Syst Appl"},{"key":"6444_CR40","doi-asserted-by":"publisher","first-page":"114323","DOI":"10.1016\/j.eswa.2020.114323","volume":"169","author":"S Vashishtha","year":"2021","unstructured":"Vashishtha S, Susan S (2021) Highlighting keyphrases using senti-scoring and fuzzy entropy for unsupervised sentiment analysis. Expert Syst Appl 169:114323","journal-title":"Expert Syst Appl"},{"key":"6444_CR41","doi-asserted-by":"publisher","first-page":"64801","DOI":"10.1109\/ACCESS.2018.2873291","volume":"6","author":"J Wang","year":"2018","unstructured":"Wang J, Zhao H, Xu J, Li H, Zhu H, Chao S, Zheng C (2018) Using intuitionistic fuzzy set for anomaly detection of network traffic from flow interaction. IEEE Access 6:64801\u201364816","journal-title":"IEEE Access"},{"key":"6444_CR42","doi-asserted-by":"crossref","unstructured":"Wang J, Yu LC, Lai KR, Zhang X (2016) Dimensional sentiment analysis using a regional CNN-LSTM model. In: Proceedings of the 54th annual meeting of the association for computational linguistics, vol 2. pp 225\u2013230","DOI":"10.18653\/v1\/P16-2037"},{"key":"6444_CR43","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.neucom.2018.04.042","volume":"307","author":"M Yang","year":"2018","unstructured":"Yang M, Qu Q, Chen X, Guo C, Shen Y, Lei K (2018) Feature-enhanced attention network for target-dependent sentiment classification. Neurocomputing 307:91\u201397","journal-title":"Neurocomputing"},{"key":"6444_CR44","unstructured":"Yessenalina A, Yue Y, Cardie C (2010) Multi-level structured models for document-level sentiment classification. In:\u00a0Proceedings of the 2010 conference on empirical methods in natural language processing. Association for Computational Linguistics, pp 1046\u20131056"},{"key":"6444_CR45","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"LA Zadeh","year":"1965","unstructured":"Zadeh LA (1965) Fuzzy sets. Inf Control 8:3","journal-title":"Inf Control"},{"key":"6444_CR46","doi-asserted-by":"crossref","unstructured":"Zhan J, Jiang H, Yao Y (2020) Three-way multi-attribute decision-making based on outranking relations.\u00a0IEEE Trans Fuzzy Syst","DOI":"10.1109\/TFUZZ.2020.3007423"},{"key":"6444_CR47","doi-asserted-by":"crossref","unstructured":"Zhan J., Ye, J., Ding, W., & Liu, P. (2021). A novel three-way decision model based on utility theory in incomplete fuzzy decision systems.\u00a0IEEE Transactions on Fuzzy Systems.","DOI":"10.1109\/TFUZZ.2021.3078012"},{"issue":"2","key":"6444_CR48","doi-asserted-by":"publisher","first-page":"2191","DOI":"10.1007\/s11042-017-4370-1","volume":"77","author":"D Zhang","year":"2018","unstructured":"Zhang D, Liao X, Yang B, Zhang Y (2018) A fast and efficient approach to color-image encryption based on compressive sensing and fractional Fourier transform. Multimed Tools Appl 77(2):2191\u20132208","journal-title":"Multimed Tools Appl"},{"key":"6444_CR49","doi-asserted-by":"crossref","unstructured":"Zhang, M., Zhang, Y., & Vo, D. T. (2016, March). Gated neural networks for targeted sentiment analysis. In: Thirtieth AAAI conference on artificial intelligence","DOI":"10.18653\/v1\/D15-1073"},{"key":"6444_CR50","doi-asserted-by":"crossref","unstructured":"Zhang K, Zhan J, Wu WZ (2020) On multi-criteria decision-making method based on a fuzzy rough set model with fuzzy \u03b1-neighborhoods. IEEE Trans Fuzzy Syst","DOI":"10.1109\/TFUZZ.2020.3001670"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-021-06444-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00500-021-06444-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-021-06444-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T12:09:42Z","timestamp":1646136582000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00500-021-06444-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,18]]},"references-count":50,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,3]]}},"alternative-id":["6444"],"URL":"https:\/\/doi.org\/10.1007\/s00500-021-06444-3","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,18]]},"assertion":[{"value":"15 October 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 November 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors of the paper declare that we have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}