{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,19]],"date-time":"2026-04-19T03:26:26Z","timestamp":1776569186800,"version":"3.51.2"},"reference-count":137,"publisher":"Springer Science and Business Media LLC","issue":"17","license":[{"start":{"date-parts":[[2019,5,11]],"date-time":"2019-05-11T00:00:00Z","timestamp":1557532800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2019,9]]},"DOI":"10.1007\/s11042-019-7586-4","type":"journal-article","created":{"date-parts":[[2019,5,11]],"date-time":"2019-05-11T23:10:42Z","timestamp":1557616242000},"page":"24863-24882","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["An efficient preprocessing method for supervised sentiment analysis by converting sentences to numerical vectors: a twitter case study"],"prefix":"10.1007","volume":"78","author":[{"given":"Mohammad Karim","family":"Sohrabi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fatemeh","family":"Hemmatian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,5,11]]},"reference":[{"key":"7586_CR1","doi-asserted-by":"crossref","unstructured":"Al-Amin M, MS Islam, SD Uzza (2017) Sentiment analysis of Bengali comments with Word2Vec and sentiment information of words. In IEEE International Conference on Electrical, Computer and Communication Engineering (ECCE). 186\u2013190","DOI":"10.1109\/ECACE.2017.7912903"},{"key":"7586_CR2","doi-asserted-by":"publisher","unstructured":"Alarifi A, Tolba A, Al-Makhadmeh Z, Said W (2018) A big data approach to sentiment analysis using greedy feature selection with cat swarm optimization-based long short-term memory neural networks. J Supercomput. \n                    https:\/\/doi.org\/10.1007\/s11227-018-2398-2","DOI":"10.1007\/s11227-018-2398-2"},{"key":"7586_CR3","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1007\/s10479-013-1449-6","volume":"236","author":"C Alfaro","year":"2016","unstructured":"Alfaro C, Cano-Montero J, G\u00f3mez J, Moguerza JM, Ortega FA (2016) multi-stage method for content classification and opinion mining on weblog comments. Ann Oper Res\n                           236:197\u2013213","journal-title":"Ann Oper Res"},{"key":"7586_CR4","unstructured":"F. Ali, E. K. Kim, and Y-G. Kim, Type-2 fuzzy ontology-based opinion mining and information extraction: a proposal to automate the hotel reservation system, Appl Intell 42 (2015) 481\u2013500."},{"key":"7586_CR5","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/j.asoc.2016.06.003","volume":"47","author":"F Ali","year":"2016","unstructured":"Ali F, Kwak K-S, Kim Y-G (2016) Opinion mining based on fuzzy domain ontology and support vector machine: a proposal to automate online review classification. Appl Soft Comput 47:235\u2013250","journal-title":"Appl Soft Comput"},{"key":"7586_CR6","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.trc.2017.01.014","volume":"77","author":"F Ali","year":"2017","unstructured":"Ali F, Kwak D, Khan P, Islam SMR, Kim KH, Kwak KS (2017) Fuzzy ontology-based sentiment analysis of transportation and city feature reviews for safe traveling. Transport Res C-Emer 77:33\u201348","journal-title":"Transport Res C-Emer"},{"key":"7586_CR7","unstructured":"Amunategui M, Markwell T, Rozenfeld Y (2015) Prediction using note text: Synthetic feature creation with word2vec. arXiv preprint arXiv:1503.05123"},{"key":"7586_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s13278-014-0181-9","volume":"4","author":"M Anjaria","year":"2014","unstructured":"Anjaria M, Guddeti RMR (2014) A novel sentiment analysis of social networks using supervised learning. Soc Netw Anal Min 4:1\u201315","journal-title":"Soc Netw Anal Min"},{"key":"7586_CR9","doi-asserted-by":"crossref","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":"7586_CR10","doi-asserted-by":"publisher","unstructured":"Arab M, Sohrabi MK (2017) Proposing a new clustering method to detect phishing websites. Turk J Elect Eng Comput 25. \n                    https:\/\/doi.org\/10.3906\/elk-1612-279","DOI":"10.3906\/elk-1612-279"},{"key":"7586_CR11","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.engappai.2018.02.018","volume":"71","author":"H Azgomi","year":"2018","unstructured":"Azgomi H, Sohrabi MK (2018) A game theory based framework for materialized view selection in data warehouses. Eng Appl Artif Intell 71:125\u2013137","journal-title":"Eng Appl Artif Intell"},{"key":"7586_CR12","doi-asserted-by":"crossref","first-page":"2507","DOI":"10.1007\/s11042-015-2646-x","volume":"75","author":"C Baecchi","year":"2016","unstructured":"Baecchi C, Uricchio T, Bertini M, Bimbo AD (2016) A multimodal feature learning approach for sentiment analysis of social network multimedia. Multimed Tools Appl 75:2507\u20132525","journal-title":"Multimed Tools Appl"},{"key":"7586_CR13","volume-title":"Modern information retrieval","author":"R Baeza-Yates","year":"1999","unstructured":"Baeza-Yates R, Ribeiro-Neto B (1999) Modern information retrieval. ACM press, New York"},{"key":"7586_CR14","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.inffus.2015.06.002","volume":"27","author":"JA Balazs","year":"2016","unstructured":"Balazs JA, Velasquez JD (2016) Opinion mining and information fusion: a survey. Inform Fusion 27:95\u2013110","journal-title":"Inform Fusion"},{"key":"7586_CR15","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.dss.2015.02.011","volume":"73","author":"E Bast\u0131","year":"2015","unstructured":"Bast\u0131 E, Kuzey C, Delen D (2015) Analyzing initial public offerings' short-term performance using decision trees and SVMs. Decis Support Syst 73:15\u201327","journal-title":"Decis Support Syst"},{"key":"7586_CR16","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1007\/s11042-010-0645-5","volume":"51","author":"CA Bhatt","year":"2011","unstructured":"Bhatt CA, Kankanhalli MS (2011) Multimedia data mining: state of the art and challenges. Multimed Tools Appl 51:35\u201376","journal-title":"Multimed Tools Appl"},{"key":"7586_CR17","doi-asserted-by":"crossref","first-page":"23435","DOI":"10.1007\/s11042-016-4114-7","volume":"76","author":"T-H Bui","year":"2017","unstructured":"Bui T-H, Park S-B (2017) Point of interest mining with proper semantic annotation. Multimed Tools Appl\n                           76:23435\u201323457","journal-title":"Multimed Tools Appl"},{"key":"7586_CR18","doi-asserted-by":"crossref","unstructured":"H-N. Tran and E. Cambria, Ensemble application of ELM and GPU for real-time multimodal sentiment analysis, Memet Comput 10 (2018) 3\u201313.","DOI":"10.1007\/s12293-017-0228-3"},{"key":"7586_CR19","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1142\/S0218488516400122","volume":"24","author":"M Cardoso","year":"2016","unstructured":"Cardoso M, Loula A, Pires MG (2016) Automated fuzzy system based on feature extraction and selection for opinion classification across different domains. Int J Uncertain Fuzz 24:93\u2013122","journal-title":"Int J Uncertain Fuzz"},{"key":"7586_CR20","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.engappai.2016.01.007","volume":"51","author":"B Charalampakis","year":"2016","unstructured":"Charalampakis B, Spathis D, Kouslis E, Kermanidis K (2016) A comparison between semi-supervised and supervised text mining techniques on detecting irony in greek political tweets. Eng Appl Artif Intell 51:50\u201357","journal-title":"Eng Appl Artif Intell"},{"key":"7586_CR21","first-page":"313","volume":"5","author":"LS Chen","year":"2011","unstructured":"Chen LS, Liu CH, Chiu HJ (2011) A neural network based approach for sentiment classification in the blogosphere. J Inf Secur 5:313\u2013322","journal-title":"J Inf Secur"},{"key":"7586_CR22","doi-asserted-by":"crossref","first-page":"997","DOI":"10.1109\/TMM.2017.2757769","volume":"20","author":"F Chen","year":"2018","unstructured":"Chen F, Ji R, Su J, Cao D, Gao Y (2018) Predicting microblog sentiments via weakly supervised multimodal deep learning. IEEE T Multimed 20:997\u20131007","journal-title":"IEEE T Multimed"},{"key":"7586_CR23","doi-asserted-by":"crossref","first-page":"889","DOI":"10.1007\/s11042-011-0885-z","volume":"71","author":"K-Y Chung","year":"2014","unstructured":"Chung K-Y, Lee D, Kim KJ (2014) Categorization for grouping associative items using data mining in item-based collaborative filtering. Multimed Tools Appl 71:889\u2013904","journal-title":"Multimed Tools Appl"},{"key":"7586_CR24","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 ACM 12th international conference on World Wide Web. 519\u2013528","DOI":"10.1145\/775152.775226"},{"key":"7586_CR25","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1016\/j.eswa.2018.10.003","volume":"118","author":"HH Do","year":"2019","unstructured":"Do HH, Prasad PWC, Maag A, Alsadoon A (2019) Deep learning for aspect-based sentiment analysis: a comparative review. Expert Syst Appl 118:272\u2013299","journal-title":"Expert Syst Appl"},{"key":"7586_CR26","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1007\/s11042-012-1021-4","volume":"69","author":"SM Doudpota","year":"2017","unstructured":"Doudpota SM (2017) Mining movie archives for song sequences. Multimed Tools Appl 69:359\u2013382","journal-title":"Multimed Tools Appl"},{"key":"7586_CR27","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1109\/MIS.2018.033001419","volume":"33","author":"M Dragoni","year":"2018","unstructured":"Dragoni M, Poria S, Cambria E (2018) OntoSenticNet: a commonsense ontology for sentiment analysis. IEEE Intell Syst 33:77\u201385","journal-title":"IEEE Intell Syst"},{"key":"7586_CR28","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.neucom.2017.01.079","volume":"241","author":"X Fu","year":"2017","unstructured":"Fu X, Liu W, Xu Y, Cui L (2017) Combine HowNet lexicon to train phrase recursive autoencoder for sentence-level sentiment analysis. Neurocomputing 241:18\u201327","journal-title":"Neurocomputing"},{"key":"7586_CR29","doi-asserted-by":"crossref","first-page":"71884","DOI":"10.1109\/ACCESS.2018.2878425","volume":"6","author":"X Fu","year":"2018","unstructured":"Fu X, Yang J, Li J, Fang M, Wang H (2018) Lexicon-enhanced LSTM with attention for general sentiment analysis. IEEE Access 6:71884\u201371891","journal-title":"IEEE Access"},{"key":"7586_CR30","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1016\/j.ipm.2014.11.001","volume":"51","author":"DH Fusilier","year":"2015","unstructured":"Fusilier DH, Montes-y-G\u00f3mez M, Rosso P, Cabrera RG (2015) Detecting positive and negative deceptive opinions using PU-learning. Inf Process Manag 51:433\u2013443","journal-title":"Inf Process Manag"},{"key":"7586_CR31","doi-asserted-by":"crossref","first-page":"18741","DOI":"10.1007\/s11042-018-5876-x","volume":"77","author":"R Harakawa","year":"2018","unstructured":"Harakawa R, Takehara D, Ogawa T, Haseyama M (2018) Sentiment-aware personalized tweet recommendation through multimodal FFM. Multimed Tools Appl 77:18741\u201318759","journal-title":"Multimed Tools Appl"},{"key":"7586_CR32","doi-asserted-by":"crossref","first-page":"13949","DOI":"10.1109\/ACCESS.2018.2814818","volume":"6","author":"A Hassan","year":"2018","unstructured":"Hassan A, Mahmood A (2018) Convolutional recurrent deep learning model for sentence classification. IEEE Access 6:13949\u201313957","journal-title":"IEEE Access"},{"key":"7586_CR33","doi-asserted-by":"publisher","unstructured":"Hemmatian F, MK Sohrabi (2018) A survey on classification techniques for opinion mining and sentiment analysis, Artif. Intel. Rev. \n                    https:\/\/doi.org\/10.1007\/s10462-017-9599-6\n                    \n                  .","DOI":"10.1007\/s10462-017-9599-6"},{"key":"7586_CR34","unstructured":"Hofmann M, Klinkenberg R (2013) RapidMiner: data mining use cases and business analytics applications. CRC Press"},{"key":"7586_CR35","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1016\/j.engappai.2017.08.006","volume":"65","author":"AS Hosseini","year":"2017","unstructured":"Hosseini AS (2017) Sentence-level emotion mining based on combination of adaptive meta-level features and sentence syntactic features. Eng Appl Artif Intell 65:361\u2013374","journal-title":"Eng Appl Artif Intell"},{"key":"7586_CR36","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1142\/S0218488516500185","volume":"24","author":"W Huo","year":"2016","unstructured":"Huo W, Feng X, Zhang Z (2016) An efficient approach for incremental mining fuzzy frequent itemsets with FP-tree. Int J Uncertain Fuzz 24:367\u2013386","journal-title":"Int J Uncertain Fuzz"},{"key":"7586_CR37","doi-asserted-by":"publisher","unstructured":"Ji R, Chen F, Cao L, Gao Y Cross-modality microblog sentiment prediction via bi-layer multimodal hypergraph learning. IEEE T Multimed. \n                    https:\/\/doi.org\/10.1109\/TMM.2018.2867718","DOI":"10.1109\/TMM.2018.2867718"},{"key":"7586_CR38","doi-asserted-by":"crossref","first-page":"23253","DOI":"10.1109\/ACCESS.2017.2776930","volume":"6","author":"Z Jianqiang","year":"2018","unstructured":"Jianqiang Z, Xiaolin G, Xuejun Z (2018) Deep convolution neural networks for twitter sentiment analysis. IEEE Access 6:23253\u201323260","journal-title":"IEEE Access"},{"key":"7586_CR39","doi-asserted-by":"crossref","unstructured":"Joachims T (1998) Text categorization with support vector machines: Learning with many relevant features 137\u2013142, Springer Berlin Heidelberg.","DOI":"10.1007\/BFb0026683"},{"key":"7586_CR40","doi-asserted-by":"crossref","unstructured":"Joshi M, Penstein-Ros\u00e9 C (2009) Generalizing dependency features for opinion mining. In: proceedings of the ACL-IJCNLP Conference Short Papers. 313\u2013316","DOI":"10.3115\/1667583.1667680"},{"key":"7586_CR41","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.compbiomed.2017.09.020","volume":"90","author":"I Kavakiotis","year":"2017","unstructured":"Kavakiotis I, Samaras P, Triantafyllidis A, Vlahavas I (2017) FIFS: a data mining method for informative marker selection in high dimensional population genomic data. Comput Biol Med 90:146\u2013154","journal-title":"Comput Biol Med"},{"key":"7586_CR42","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.knosys.2017.01.028","volume":"122","author":"H Keshavarz","year":"2017","unstructured":"Keshavarz H, Abadeh MS (2017) ALGA: adaptive lexicon learning using genetic algorithm for sentiment analysis of microblogs. Knowl-Based Syst 122:1\u201316","journal-title":"Knowl-Based Syst"},{"key":"7586_CR43","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.dss.2013.09.004","volume":"57","author":"FH Khan","year":"2014","unstructured":"Khan FH, Bashir S, Qamar U (2014) TOM: twitter opinion mining framework using hybrid classification scheme. Decis Support Syst 57:245\u2013257","journal-title":"Decis Support Syst"},{"key":"7586_CR44","doi-asserted-by":"crossref","first-page":"7151","DOI":"10.1016\/j.eswa.2010.12.045","volume":"38","author":"P Kisioglu","year":"2011","unstructured":"Kisioglu P, Topcu YI (2011) Applying Bayesian belief network approach to customer churn analysis: a case study on the telecom industry of Turkey. Expert Syst Appl 38:7151\u20137157","journal-title":"Expert Syst Appl"},{"key":"7586_CR45","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.ipm.2014.04.001","volume":"51","author":"J Kranjc","year":"2015","unstructured":"Kranjc J, Smailovi\u0107 J, Podpe\u010dan V, Gr\u010dar M, \u017dnidar\u0161i\u010d M, Lavra\u010d N (2015) Active learning for sentiment analysis on data streams: methodology and workflow implementation in the ClowdFlows platform. Inf Process Manag 51:187\u2013203","journal-title":"Inf Process Manag"},{"key":"7586_CR46","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1142\/S0218488517500167","volume":"25","author":"RS Kumar","year":"2017","unstructured":"Kumar RS, Arasu GT (2017) Rough set theory and fuzzy logic based warehousing of heterogeneous clinical databases. Int J Uncertain Fuzz 25:385\u2013408","journal-title":"Int J Uncertain Fuzz"},{"key":"7586_CR47","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.knosys.2018.04.006","volume":"152","author":"G Lee","year":"2018","unstructured":"Lee G, Jeong J, Seo S, Kim CY, Kang P (2018) Sentiment classification with word localization based on weakly supervised learning with a convolutional neural network. Knowl-Based Syst 152:70\u201382","journal-title":"Knowl-Based Syst"},{"key":"7586_CR48","doi-asserted-by":"crossref","first-page":"1192","DOI":"10.1109\/TKDE.2017.2786727","volume":"30","author":"W Li","year":"2018","unstructured":"Li W, Chen H (2018) Supervised Topic Modeling Using Hierarchical Dirichlet Process-Based Inverse Regression: Experiments on E-Commerce Applications. IEEE T Knowl Data En\n                           30:1192\u20131205","journal-title":"IEEE T Knowl Data En"},{"key":"7586_CR49","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1177\/0165551511432670","volume":"38","author":"G Li","year":"2012","unstructured":"Li G, Liu F (2012) Application of a clustering method on sentiment analysis. J Inf Sci 38:127\u2013139","journal-title":"J Inf Sci"},{"key":"7586_CR50","doi-asserted-by":"crossref","first-page":"10177","DOI":"10.1007\/s11042-014-2158-0","volume":"74","author":"Y Li","year":"2015","unstructured":"Li Y, Qin Z, Xu W, Guo J (2015) A holistic model of mining product aspects and associated sentiments from online reviews. Multimed Tools Appl 74:10177\u201310194","journal-title":"Multimed Tools Appl"},{"key":"7586_CR51","doi-asserted-by":"publisher","unstructured":"Li Z, Fan Y, Jiang B, Lei T, Liu W (2018) A survey on sentiment analysis and opinion mining for social multimedia, Multimed. Tools Appl. \n                    https:\/\/doi.org\/10.1007\/s11042-018-6445-z","DOI":"10.1007\/s11042-018-6445-z"},{"key":"7586_CR52","doi-asserted-by":"publisher","unstructured":"Li J, Yang D, Lv P (2018) Visualize classic play\u2019s composing patterns: a weighted motif mining framework, Multimed. Tools Appl. \n                    https:\/\/doi.org\/10.1007\/s11042-018-6405-7","DOI":"10.1007\/s11042-018-6405-7"},{"key":"7586_CR53","doi-asserted-by":"crossref","first-page":"14203","DOI":"10.1007\/s11042-016-3363-9","volume":"75","author":"F Lin","year":"2016","unstructured":"Lin F, Xiahou J, Xu Z (2016) TCM clinic records data mining approaches based on weighted-LDA and multi-relationship LDA model. Multimed Tools Appl 75:14203\u201314232","journal-title":"Multimed Tools Appl"},{"key":"7586_CR54","unstructured":"Liu B (2007) Web data mining: exploring hyperlinks, contents, and usage data. Springer Sci Bus Med"},{"key":"7586_CR55","doi-asserted-by":"crossref","unstructured":"Liu B (2012) Sentiment analysis and opinion mining. Synthesis lectures on human language technologies. Morgan & Calypool Publishers. 1\u2013167.","DOI":"10.2200\/S00416ED1V01Y201204HLT016"},{"key":"7586_CR56","doi-asserted-by":"crossref","unstructured":"Liu B, LA Zhang (2012) Survey of opinion mining and sentiment analysis. In: Mining text data. 415\u2013463","DOI":"10.1007\/978-1-4614-3223-4_13"},{"key":"7586_CR57","unstructured":"Liu J, Y Cao, CY Lin, Y Huang, M Zhou (2007) Low-quality product review detection in opinion summarization. In: EMNLP-CoNLL. 334\u2013342"},{"key":"7586_CR58","doi-asserted-by":"publisher","unstructured":"Liu W, Zhu L, Chu L, Ma H (2018) A common subgraph correspondence mining framework for map search services, Multimed. Tools Appl. \n                    https:\/\/doi.org\/10.1007\/s11042-017-5553-5","DOI":"10.1007\/s11042-017-5553-5"},{"key":"7586_CR59","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/j.ins.2018.12.038","volume":"480","author":"M L\u00f3pez","year":"2019","unstructured":"L\u00f3pez M, Valdivia A, Mart\u00ednez-C\u00e1mara E, Luz\u00f3n MV, Herrera F (2019) E2SAM: evolutionary ensemble of sentiment analysis methods for domain adaptation. Inf Sci 480:273\u2013286","journal-title":"Inf Sci"},{"key":"7586_CR60","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1142\/S0218488512500274","volume":"20","author":"JP Lucas","year":"2012","unstructured":"Lucas JP, Laurent A, Moreno MN, Teisseire M (2012) A fuzzy associative classification approach for recommender systems. Int J Uncertain Fuzz 20:579\u2013617","journal-title":"Int J Uncertain Fuzz"},{"key":"7586_CR61","doi-asserted-by":"crossref","first-page":"304","DOI":"10.1016\/j.future.2018.10.041","volume":"93","author":"X Ma","year":"2019","unstructured":"Ma X, Zeng J, Peng L, Fortino G, Zhang Y (2019) Modeling multi-aspects within one opinionated sentence simultaneously for aspect-level sentiment analysis. Future Gener Comp Sy 93:304\u2013311","journal-title":"Future Gener Comp Sy"},{"key":"7586_CR62","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-6406-6","volume-title":"Efficient multimedia information mining framework based on deep learning and self-organizing model","author":"X Mai","year":"2018","unstructured":"Mai X (2018) Efficient multimedia information mining framework based on deep learning and self-organizing model. Multimed, Tools Appl. \n                    https:\/\/doi.org\/10.1007\/s11042-018-6406-6"},{"key":"7586_CR63","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.knosys.2018.07.041","volume":"161","author":"N Majumder","year":"2018","unstructured":"Majumder N, Hazarika D, Gelbukh A, Cambria E, Poria S (2018) Multimodal sentiment analysis using hierarchical fusion with context modeling. Knowl-Based Syst 161:124\u2013133","journal-title":"Knowl-Based Syst"},{"key":"7586_CR64","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.chb.2015.07.061","volume":"54","author":"HS Manaman","year":"2016","unstructured":"Manaman HS, Jamali S, AleAhmad A (2016) Online reputation measurement of companies based on user-generated content in online social networks. Comput Hum Behav 54:94\u2013100","journal-title":"Comput Hum Behav"},{"key":"7586_CR65","unstructured":"Mikolov T, Chen K, Corrado G, Dean J (2013) Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781"},{"key":"7586_CR66","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.eswa.2016.03.031","volume":"58","author":"M Milagros Fern\u00e1ndez-Gavilanes","year":"2016","unstructured":"Milagros Fern\u00e1ndez-Gavilanes M, \u00c1lvarez-L\u00f3pez T, Juncal-Mart\u00ednez J, Costa-Montenegro F, Gonz\u00e1lez-Casta\u00f1o J (2016) Unsupervised method for sentiment analysis in online texts. Expert Syst Appl 58:57\u201375","journal-title":"Expert Syst Appl"},{"key":"7586_CR67","doi-asserted-by":"crossref","first-page":"55392","DOI":"10.1109\/ACCESS.2018.2868970","volume":"6","author":"DL Minh","year":"2018","unstructured":"Minh DL, Sadeghi-Niaraki A, Huy HD, Min K, Moon H (2018) Deep learning approach for short-term stock trends prediction based on two-stream gated recurrent unit network. IEEE Access 6:55392\u201355404","journal-title":"IEEE Access"},{"key":"7586_CR68","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1016\/j.eswa.2012.07.059","volume":"40","author":"R Moraes","year":"2013","unstructured":"Moraes R, Valiati JF, Gavi\u00e3o-Neto W (2013) Document-level sentiment classification: an empirical comparison between SVM and ANN. Expert Syst Appl 40:621\u2013633","journal-title":"Expert Syst Appl"},{"key":"7586_CR69","unstructured":"Nakagawa T, I Kentaro, K Sadao (2010) Dependency tree-based sentiment classification using CRFs with hidden variables. In: proceeding of HLT '10 Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics. 786\u2013794"},{"key":"7586_CR70","doi-asserted-by":"crossref","first-page":"764","DOI":"10.1016\/j.ipm.2017.02.004","volume":"53","author":"AC Pandey","year":"2017","unstructured":"Pandey AC, Rajpoot DS, Saraswat M (2017) Twitter sentiment analysis using hybrid cuckoo search method. Inf Process Manag 53:764\u2013779","journal-title":"Inf Process Manag"},{"key":"7586_CR71","unstructured":"Pang B, Lee L, Vaithyanathan S (2002) Thumbs up? Sentiment classification using machine learning techniques. In: proceeding of EMNLP. 79\u201386."},{"key":"7586_CR72","doi-asserted-by":"crossref","first-page":"5995","DOI":"10.1016\/j.eswa.2014.03.022","volume":"41","author":"I Pe\u00f1alver-Martinez","year":"2014","unstructured":"Pe\u00f1alver-Martinez I, Garcia-Sanchez F, Valencia-Garcia R, Rodr\u00edguez-Garc\u00eda MA, Moreno V, Fraga A, S\u00e1nchez-Cervantes JL (2014) Feature-based opinion mining through ontologies. Expert Syst Appl 41:5995\u20136008","journal-title":"Expert Syst Appl"},{"key":"7586_CR73","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1109\/MIS.2013.4","volume":"28","author":"S Poria","year":"2013","unstructured":"Poria S, Gelbukh A, Hussain A, Das D, Bandyopadhyay S (2013) Enhanced SenticNet with affective labels for concept-based opinion mining. IEEE Intell Syst 28:31\u201338","journal-title":"IEEE Intell Syst"},{"key":"7586_CR74","doi-asserted-by":"crossref","unstructured":"Poria S, E Cambria, A Gelbukh (2015) Deep convolutional neural network textual features and multiple kernel learning for utterance-level multimodal sentiment analysis. In Proceedings of the Conference on Empirical Methods in Natural Language Processing. 2539\u20132544.","DOI":"10.18653\/v1\/D15-1303"},{"key":"7586_CR75","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.knosys.2016.06.009","volume":"108","author":"S Poria","year":"2016","unstructured":"Poria S, Cambria E, Gelbukh A (2016) Aspect extraction for opinion mining with a deep convolutional neural network. Knowl-Based Syst 108:42\u201349","journal-title":"Knowl-Based Syst"},{"key":"7586_CR76","doi-asserted-by":"publisher","unstructured":"Pu X, Wu G, Yuan C (2017) Exploring overall opinions for document level sentiment classification with structural SVM. Multimedia Systems. \n                    https:\/\/doi.org\/10.1007\/s00530-017-0550-0","DOI":"10.1007\/s00530-017-0550-0"},{"key":"7586_CR77","doi-asserted-by":"crossref","first-page":"17755","DOI":"10.1007\/s11042-017-5382-6","volume":"77","author":"J Ramos","year":"2018","unstructured":"Ramos J, Nedjah N, de Mourelle LM, Gupta BB (2018) Visual data mining for crowd anomaly detection using artificial bacteria colony. Multimed Tools Appl\n                           77:17755\u201317777","journal-title":"Multimed Tools Appl"},{"key":"7586_CR78","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.neucom.2018.04.045","volume":"308","author":"G Rao","year":"2018","unstructured":"Rao G, Huang W, Feng Z, Cong Q (2018) LSTM with sentence representations for document-level sentiment classification. Neurocomputing 308:49\u201357","journal-title":"Neurocomputing"},{"key":"7586_CR79","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.knosys.2015.06.015","volume":"89","author":"K Ravi","year":"2015","unstructured":"Ravi K, Ravi V (2015) A survey on opinion mining and sentiment analysis: tasks, approaches and applications. Knowl-Based Syst 89:14\u201346","journal-title":"Knowl-Based Syst"},{"key":"7586_CR80","doi-asserted-by":"crossref","first-page":"943","DOI":"10.1016\/j.csl.2012.07.012","volume":"27","author":"F Ren","year":"2013","unstructured":"Ren F, Kang X (2013) Employing hierarchical Bayesian networks in simple and complex emotion topic analysis. Comput Speech Lang 27:943\u2013968","journal-title":"Comput Speech Lang"},{"key":"7586_CR81","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/s11704-014-4085-7","volume":"9","author":"W Rong","year":"2015","unstructured":"Rong W, Peng B, Ouyang Y, Li C, Xiong Z (2015) Structural information aware deep semi-supervised recurrent neural network for sentiment analysis. Front Comput Sci-Chi 9:171\u2013184","journal-title":"Front Comput Sci-Chi"},{"key":"7586_CR82","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1109\/MIS.2013.9","volume":"28","author":"VP Rosas","year":"2013","unstructured":"Rosas VP, Mihalcea R, Morency L-P (2013) Multimodal sentiment analysis of Spanish online videos. IEEE Intell Syst 28:38\u201345","journal-title":"IEEE Intell Syst"},{"key":"7586_CR83","doi-asserted-by":"crossref","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 LA (2011) Experiments with SVM to classify opinions in different domains. Expert Syst Appl 38:14799\u201314804","journal-title":"Expert Syst Appl"},{"key":"7586_CR84","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1016\/0306-4573(88)90021-0","volume":"24","author":"G Salton","year":"1988","unstructured":"Salton G, Buckley C (1988) Term-weighting approaches in automatic text retrieval. Inf Process Manag 24:513\u2013523","journal-title":"Inf Process Manag"},{"key":"7586_CR85","doi-asserted-by":"crossref","first-page":"3821","DOI":"10.1007\/s00500-016-2093-2","volume":"20","author":"L Shang","year":"2016","unstructured":"Shang L, Zhou Z, Liu X (2016) Particle swarm optimization-based feature selection in sentiment classification. Soft Comput 20:3821\u20133834","journal-title":"Soft Comput"},{"key":"7586_CR86","doi-asserted-by":"publisher","unstructured":"Shuang K, Ren X, Yang Q, Li R, Loo J (2018) AELA-DLSTMs: Attention-Enabled and Location-Aware Double LSTMs for Aspect-level Sentiment Classification. Neurocomputing. \n                    https:\/\/doi.org\/10.1016\/j.neucom.2018.11.084","DOI":"10.1016\/j.neucom.2018.11.084"},{"key":"7586_CR87","doi-asserted-by":"publisher","unstructured":"Sohrabi MK (2018) A gossip-based information fusion protocol for distributed frequent Itemset mining, Enterp. Inform. Syst.\n                           \n                    https:\/\/doi.org\/10.1080\/17517575.2017.1405286","DOI":"10.1080\/17517575.2017.1405286"},{"key":"7586_CR88","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1016\/j.chb.2016.02.092","volume":"60","author":"MK Sohrabi","year":"2016","unstructured":"Sohrabi MK, Akbari S (2016) A comprehensive study on the effects of using data mining techniques to predict tie strength. Comput Hum Behav 60:534\u2013541","journal-title":"Comput Hum Behav"},{"key":"7586_CR89","doi-asserted-by":"crossref","first-page":"3175","DOI":"10.3906\/elk-1608-112","volume":"25","author":"MK Sohrabi","year":"2017","unstructured":"Sohrabi MK, Azgomi H (2017) TSGV: a table-like structure based greedy method for materialized view selection in data warehouse. Turk J Elect Eng Comput 25:3175\u20133187","journal-title":"Turk J Elect Eng Comput"},{"key":"7586_CR90","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.scico.2017.04.006","volume":"145","author":"MK Sohrabi","year":"2017","unstructured":"Sohrabi MK, Azgomi H (2017) Parallel set similarity join on big data based on locality-sensitive hashing. Sci Comput Program 145:1\u201312","journal-title":"Sci Comput Program"},{"key":"7586_CR91","doi-asserted-by":"publisher","unstructured":"Sohrabi MK, Azgomi H (2018) A survey on the combined use of optimization methods and game theory. Arch Comput Method E. \n                    https:\/\/doi.org\/10.1007\/s11831-018-9300-5","DOI":"10.1007\/s11831-018-9300-5"},{"key":"7586_CR92","doi-asserted-by":"crossref","first-page":"558","DOI":"10.1016\/j.knosys.2018.09.012","volume":"163","author":"MK Sohrabi","year":"2019","unstructured":"Sohrabi MK, Azgomi H (2019) Evolutionary game theory approach to materialized view selection in data warehouses. Knowl-Based Syst 163:558\u2013571","journal-title":"Knowl-Based Syst"},{"key":"7586_CR93","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.knosys.2012.03.003","volume":"33","author":"MK Sohrabi","year":"2012","unstructured":"Sohrabi MK, Barforoush AA (2012) Efficient colossal pattern mining in high dimensional datasets. Knowl-Based Syst 33:41\u201352","journal-title":"Knowl-Based Syst"},{"key":"7586_CR94","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1016\/j.knosys.2012.09.005","volume":"37","author":"MK Sohrabi","year":"2013","unstructured":"Sohrabi MK, Barforoush AA (2013) Parallel frequent itemset mining using systolic arrays. Knowl-Based Syst\n                           37:462\u2013471","journal-title":"Knowl-Based Syst"},{"key":"7586_CR95","unstructured":"Sohrabi MK, Ghods V (2014) Top-down vertical itemset mining, in Proc. of 6th International Conference on Graphic and Image Processing (Beijing, China, October ) pp. 94431\u201394437"},{"key":"7586_CR96","unstructured":"Sohrabi MK, V Ghods (2016) CUSE: A novel cube-based approach for sequential pattern mining, in Proc. of 4th International symposium on Computational and Business Intelligence (Olten, Switzerland, September ). 186\u2013190."},{"key":"7586_CR97","doi-asserted-by":"crossref","first-page":"140","DOI":"10.17706\/jcp.11.2.140-148","volume":"11","author":"MK Sohrabi","year":"2016","unstructured":"Sohrabi MK, Ghods V (2016) Materialized view selection for a data warehouse using frequent itemset mining. J Comput 11:140\u2013148","journal-title":"J Comput"},{"key":"7586_CR98","doi-asserted-by":"publisher","unstructured":"Sohrabi MK, Karimi F Feature selection approach to detect spam in the facebook social network. Arab J Sci Eng. \n                    https:\/\/doi.org\/10.1007\/s13369-017-2855-x","DOI":"10.1007\/s13369-017-2855-x"},{"key":"7586_CR99","doi-asserted-by":"crossref","first-page":"23","DOI":"10.19101\/IJACR.2016.627001","volume":"7","author":"MK Sohrabi","year":"2016","unstructured":"Sohrabi MK, Marzooni HH (2016) Association rule mining using new FP-linked list algorithm. J Adv Comput Res 7:23\u201334","journal-title":"J Adv Comput Res"},{"key":"7586_CR100","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.chb.2016.11.036","volume":"68","author":"MK Sohrabi","year":"2017","unstructured":"Sohrabi MK, Roshani R (2017) Frequent Itemset mining using cellular learning automata. Comput Hum Behav 68:244\u2013253","journal-title":"Comput Hum Behav"},{"key":"7586_CR101","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1080\/02533839.2018.1454853","volume":"41","author":"MK Sohrabi","year":"2018","unstructured":"Sohrabi MK, Taheri N (2018) A haoop-based parallel mining of frequent itemsets using N-lists. J Chin Inst Eng 41:229\u2013238","journal-title":"J Chin Inst Eng"},{"key":"7586_CR102","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.compbiolchem.2017.06.002","volume":"69","author":"MK Sohrabi","year":"2017","unstructured":"Sohrabi MK, Tajik A (2017) Multi-objective feature selection for warfarin dose prediction. Comput Biol Chem 69:126\u2013133","journal-title":"Comput Biol Chem"},{"key":"7586_CR103","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.imavis.2017.08.003","volume":"65","author":"M Soleymani","year":"2017","unstructured":"Soleymani M, Garcia D, Jou B, Schuller B, Chang S-F, Pantic M (2017) A survey of multimodal sentiment analysis. Image Vis Comput 65:3\u201314","journal-title":"Image Vis Comput"},{"key":"7586_CR104","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1016\/j.neucom.2018.05.104","volume":"312","author":"K Song","year":"2018","unstructured":"Song K, Yao T, Ling Q, Mei T (2018) Boosting image sentiment analysis with visual attention. Neurocomputing 312:218\u2013228","journal-title":"Neurocomputing"},{"key":"7586_CR105","doi-asserted-by":"crossref","unstructured":"Su Z, H Xu, D Zhang, Y Xu (2014) Chinese sentiment classification using a neural network tool\u2014Word2vec. In IEEE International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI). 1\u20136","DOI":"10.1109\/MFI.2014.6997687"},{"key":"7586_CR106","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.inffus.2016.10.004","volume":"36","author":"S Sun","year":"2017","unstructured":"Sun S, Luo C, Chen J (2017) A review of natural language processing techniques for opinion mining systems. Inform Fusion 36:10\u201325","journal-title":"Inform Fusion"},{"key":"7586_CR107","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1162\/COLI_a_00049","volume":"37","author":"M Taboada","year":"2011","unstructured":"Taboada M, Brooke J, Tofiloski M, Voll K, Stede M (2011) Lexicon-based methods for sentiment analysis. Comput Linguist 37:267\u2013307","journal-title":"Comput Linguist"},{"key":"7586_CR108","unstructured":"Tang D, Qin B, Liu T, Yang Y (2015) User modeling with neural network for review rating prediction. In Proc IJCAI:1340\u20131346"},{"key":"7586_CR109","doi-asserted-by":"crossref","first-page":"921","DOI":"10.1007\/s11042-012-1123-z","volume":"69","author":"A Tazaree","year":"2014","unstructured":"Tazaree A, Eftekhari-Moghadam AM, Sajjadi-Ghaem-Maghami S (2014) A semantic image classifier based on hierarchical fuzzy association rule mining. Multimed Tools Appl 69:921\u2013949","journal-title":"Multimed Tools Appl"},{"key":"7586_CR110","doi-asserted-by":"crossref","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 53:805\u2013831","journal-title":"Knowl Inf Syst"},{"key":"7586_CR111","doi-asserted-by":"publisher","unstructured":"Tubishat M, Abushariah MAM, Idris N, Aljarah I (2018) Improved whale optimization algorithm for feature selection in Arabic sentiment analysis. Appl Intell. \n                    https:\/\/doi.org\/10.1007\/s10489-018-1334-8","DOI":"10.1007\/s10489-018-1334-8"},{"key":"7586_CR112","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. 417\u2013424."},{"key":"7586_CR113","first-page":"36","volume":"41","author":"G Van Rossum","year":"2007","unstructured":"Van Rossum G (2007) Python programming language. USENIX Ann Tech Conf 41:36","journal-title":"USENIX Ann Tech Conf"},{"key":"7586_CR114","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.knosys.2016.11.014","volume":"118","author":"D Vilares","year":"2017","unstructured":"Vilares D, G\u00f3mez-Rodr\u00edguez C, Alonso MA (2017) Universal, unsupervised (rule-based), uncovered sentiment analysis. Knowl-Based Syst 118:45\u201355","journal-title":"Knowl-Based Syst"},{"key":"7586_CR115","first-page":"2","volume":"28","author":"G Vinodhini","year":"2016","unstructured":"Vinodhini G, Chandrasekaran RM (2016) A comparative performance evaluation of neural network based approach for sentiment classification of online reviews. J King Saud Univ-Comput Inform Sci 28:2\u201312","journal-title":"J King Saud Univ-Comput Inform Sci"},{"key":"7586_CR116","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.neucom.2018.09.049","volume":"322","author":"J Wang","year":"2018","unstructured":"Wang J, Peng B, Zhang X (2018) Using a stacked residual LSTM model for sentiment intensity prediction. Neurocomputing 322:93\u2013101","journal-title":"Neurocomputing"},{"key":"7586_CR117","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.knosys.2018.01.019","volume":"148","author":"C Wu","year":"2018","unstructured":"Wu C, Wu F, Wu S, Yuan Z, Huang Y (2018) A hybrid unsupervised method for aspect term and opinion target extraction. Knowl-Based Syst 148:66\u201373","journal-title":"Knowl-Based Syst"},{"key":"7586_CR118","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.knosys.2018.11.018","volume":"165","author":"C Wu","year":"2019","unstructured":"Wu C, Wu F, Wu S, Yuan Z, Liu J, Huang Y (2019) Semi-supervised dimensional sentiment analysis with variational autoencoder. Knowl-Based Syst 165:30\u201339","journal-title":"Knowl-Based Syst"},{"key":"7586_CR119","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.ipm.2015.04.003","volume":"52","author":"R Xia","year":"2016","unstructured":"Xia R, Xu F, Yu J, Qi Y, Cambria E (2016) Polarity shift detection, elimination and ensemble: a three-stage model for document-level sentiment analysis. Inf Process Manag 52:36\u201345","journal-title":"Inf Process Manag"},{"key":"7586_CR120","doi-asserted-by":"crossref","first-page":"2792","DOI":"10.1109\/TCYB.2014.2386282","volume":"45","author":"J Xuan","year":"2015","unstructured":"Xuan J, Lu J, Zhang G, Luo X (2015) Topic model for graph mining. IEEE T Cybernet 45:2792\u20132803","journal-title":"IEEE T Cybernet"},{"key":"7586_CR121","doi-asserted-by":"crossref","unstructured":"Xue B, Fu C, Shaobin Z (2014) A study on sentiment computing and classification of sina weibo with word2vec. IEE Congress on Big Data Congress:358\u2013363","DOI":"10.1109\/BigData.Congress.2014.59"},{"key":"7586_CR122","doi-asserted-by":"crossref","first-page":"3389","DOI":"10.1109\/TMM.2018.2838320","volume":"20","author":"C Yan","year":"2018","unstructured":"Yan C, Xie H, Chen J, Zha Z, Hao X, Zhang Y, Dai Q (2018) A fast Uyghur text detector for complex background images. IEEE T Multimed 20:3389\u20133398","journal-title":"IEEE T Multimed"},{"key":"7586_CR123","unstructured":"Yan C, Xie H, Chen J, Zha Z, Hao X, Zhang Y, Dai Q (2018) Cross-modality bridging and knowledge transferring for image understanding. IEEE T Multimed"},{"key":"7586_CR124","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1109\/TITS.2017.2749977","volume":"19","author":"C Yan","year":"2018","unstructured":"Yan C, Xie H, Liu S, Yin J, Zhang Y, Dai Q (2018) Effective Uyghur language text detection in complex background images for traffic prompt identification. IEEE Trans Intell Transp Syst 19:220\u2013229","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"7586_CR125","first-page":"273","volume":"28","author":"W Yang","year":"2002","unstructured":"Yang W, Tsay C-W, Chan J-T (2002) On the applicability of the longest-match rule in lexical analysis. Comput Lang Syst Struct 28:273\u2013288","journal-title":"Comput Lang Syst Struct"},{"key":"7586_CR126","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.neucom.2016.10.103","volume":"264","author":"SY Yang","year":"2017","unstructured":"Yang SY, Mo SYK, Liu A, Kirilenko AA (2017) Genetic programming optimization for a sentiment feedback strength based trading strategy. Neurocomputing 264:29\u201341","journal-title":"Neurocomputing"},{"key":"7586_CR127","doi-asserted-by":"crossref","first-page":"304","DOI":"10.1016\/j.eswa.2016.01.049","volume":"54","author":"U Yun","year":"2016","unstructured":"Yun U, Lee G (2016) Incremental mining of weighted maximal frequent itemsets from dynamic databases. Expert Syst Appl 54:304\u2013327","journal-title":"Expert Syst Appl"},{"key":"7586_CR128","doi-asserted-by":"crossref","first-page":"879","DOI":"10.1142\/S0218488514500470","volume":"22","author":"U Yun","year":"2014","unstructured":"Yun U, Yoon E (2014) An efficient approach for mining weighted approximate closed frequent patterns considering noise constraints. Int J Uncertain Fuzz 22:879\u2013912","journal-title":"Int J Uncertain Fuzz"},{"key":"7586_CR129","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1109\/MIS.2016.94","volume":"31","author":"A Zadeh","year":"2016","unstructured":"Zadeh A, Zellers R, Pincus E, Morency L-P (2016) Multimodal sentiment intensity analysis in videos: facial gestures and verbal messages. IEEE Intell Syst 31:82\u201388","journal-title":"IEEE Intell Syst"},{"key":"7586_CR130","doi-asserted-by":"crossref","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 42:1857\u20131863","journal-title":"Expert Syst Appl"},{"key":"7586_CR131","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.tcs.2018.04.029","volume":"752","author":"Y Zhang","year":"2018","unstructured":"Zhang Y, Song D, Zhang P, Wang P, Li J, Li X, Wang B (2018) A quantum-inspired multimodal sentiment analysis framework. Theor Comput Sci 752:21\u201340","journal-title":"Theor Comput Sci"},{"key":"7586_CR132","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.ins.2018.10.030","volume":"477","author":"Y Zhang","year":"2019","unstructured":"Zhang Y, Zhang Z, Miao D, Wang J (2019) Three-way enhanced convolutional neural networks for sentence-level sentiment classification. Inf Sci 477:55\u201364","journal-title":"Inf Sci"},{"key":"7586_CR133","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1109\/TKDE.2017.2756658","volume":"30","author":"W Zhao","year":"2018","unstructured":"Zhao W, Guan Z, Chen L, He X, Cai D, Wang B, Wang Q (2018) Weakly-supervised deep embedding for product review sentiment analysis. IEEE T Knowl Data En 30:185\u2013197","journal-title":"IEEE T Knowl Data En"},{"key":"7586_CR134","doi-asserted-by":"crossref","first-page":"17647","DOI":"10.1007\/s11042-016-3466-3","volume":"75","author":"D Zhu","year":"2016","unstructured":"Zhu D (2016) Big data-based multimedia transcoding method and its application in multimedia data mining-based smart transportation and telemedicine. Multimed Tools Appl 75:17647\u201317668","journal-title":"Multimed Tools Appl"},{"key":"7586_CR135","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.dss.2018.01.011","volume":"107","author":"D Zhu","year":"2018","unstructured":"Zhu D, Lappas T, Zhang J (2018) Unsupervised tip-mining from customer reviews. Decis Support Syst 107:116\u2013124","journal-title":"Decis Support Syst"},{"key":"7586_CR136","doi-asserted-by":"crossref","first-page":"876","DOI":"10.1016\/j.ins.2015.06.050","volume":"329","author":"M Zimmermann","year":"2016","unstructured":"Zimmermann M, Ntoutsi E, Spiliopoulou M (2016) Extracting opinionated (sub) features from a stream of product reviews using accumulated novelty and internal re-organization. Inf Sci 329:876\u2013899","journal-title":"Inf Sci"},{"key":"7586_CR137","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1109\/TKDE.2017.2764084","volume":"30","author":"Y Zuo","year":"2018","unstructured":"Zuo Y, Wu J, Zhang H, Wang D, Xu K (2018) Complementary aspect-based opinion mining. IEEE T Knowl Data En 30:249\u2013262","journal-title":"IEEE T Knowl Data En"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-7586-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-019-7586-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-7586-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,9]],"date-time":"2020-05-09T23:17:19Z","timestamp":1589066239000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-019-7586-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,11]]},"references-count":137,"journal-issue":{"issue":"17","published-print":{"date-parts":[[2019,9]]}},"alternative-id":["7586"],"URL":"https:\/\/doi.org\/10.1007\/s11042-019-7586-4","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,5,11]]},"assertion":[{"value":"10 May 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 January 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 April 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 May 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}