{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T20:32:13Z","timestamp":1781123533466,"version":"3.54.1"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"18","license":[{"start":{"date-parts":[[2019,6,11]],"date-time":"2019-06-11T00:00:00Z","timestamp":1560211200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,6,11]],"date-time":"2019-06-11T00:00:00Z","timestamp":1560211200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"COMSATS University Islamabad","award":["CUI\/ORICPD\/19"],"award-info":[{"award-number":["CUI\/ORICPD\/19"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2019,9]]},"DOI":"10.1007\/s11042-019-07788-7","type":"journal-article","created":{"date-parts":[[2019,6,11]],"date-time":"2019-06-11T10:03:09Z","timestamp":1560247389000},"page":"26597-26613","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":275,"title":["A Hybrid CNN-LSTM Model for Improving Accuracy of Movie Reviews Sentiment Analysis"],"prefix":"10.1007","volume":"78","author":[{"given":"Anwar Ur","family":"Rehman","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5569-5629","authenticated-orcid":false,"given":"Ahmad Kamran","family":"Malik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Basit","family":"Raza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Waqar","family":"Ali","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,6,11]]},"reference":[{"key":"7788_CR1","doi-asserted-by":"crossref","unstructured":"Ain QT, Ali M, Riaz A, Noureen A, Kamran M, Hayat B, Rehman A (2017) SA using deep learning techniques: a review. Int J Adv Comput Sci Appl, 8(6)","DOI":"10.14569\/IJACSA.2017.080657"},{"key":"7788_CR2","unstructured":"Al-Smadi M, Talafha B, Al-Ayyoub M, Jararweh Y (2018) Using long short-term memory deep neural networks for aspect-based sentiment analysis of Arabic reviews. International Journal of Machine Learning and Cybernetics, 1-13"},{"issue":"6","key":"7788_CR3","first-page":"1","volume":"7","author":"A Amolik","year":"2016","unstructured":"Amolik A, Jivane N, Bhandari M, Venkatesan M (2016) Twitter sentiment analysis of movie reviews using machine learning techniques. Int J Eng Technol 7(6):1\u20137","journal-title":"Int J Eng Technol"},{"key":"7788_CR4","doi-asserted-by":"crossref","unstructured":"Cheng Z, Ying D, Lei Z, Mohan K (2018) Aspect-aware latent factor model: Rating prediction with ratings and reviews. In: Proceedings of theWorld Wide Web Conference on World Wide Web, pp. 639-648","DOI":"10.1145\/3178876.3186145"},{"key":"7788_CR5","doi-asserted-by":"crossref","unstructured":"Cheng Z, Ying D, Xiangnan H, Lei Z, Xuemeng S, Mohan K (2018) A^ 3NCF: An Adaptive Aspect Attention Model for Rating Prediction. In IJCAI, pp. 3748-3754","DOI":"10.24963\/ijcai.2018\/521"},{"issue":"2","key":"7788_CR6","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1145\/3291060","volume":"37","author":"Z Cheng","year":"2019","unstructured":"Cheng Z, Xiaojun C, Lei Z, Rose C, Mohan K (2019) MMALFM: Explainable recommendation by leveraging reviews and images. ACM Trans Inf Syst 37(2):16","journal-title":"ACM Trans Inf Syst"},{"key":"7788_CR7","unstructured":"Collobert R, Weston J (2008) A united architecture for natural language processing: Deep neural networks with multitask learning, in Proc. 25th Int. Conf. Mach. Learn., pp. 160-167"},{"key":"7788_CR8","doi-asserted-by":"crossref","unstructured":"Conneau A, Schwenk H, Barrault L, Lecun Y (2017) Very deep convolutional networks for text classification. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pp. 1107-1116","DOI":"10.18653\/v1\/E17-1104"},{"key":"7788_CR9","doi-asserted-by":"crossref","unstructured":"Elghazaly T, Mahmoud A, Hefny HA (2016) Political sentiment analysis using twitter data. In Proceedings of the ACM International Conference on Internet of things and Cloud Computing, pp.11","DOI":"10.1145\/2896387.2896396"},{"issue":"1","key":"7788_CR10","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1186\/s40537-015-0015-2","volume":"2","author":"X Fang","year":"2015","unstructured":"Fang X, Zhan J (2015) Sentiment analysis using product review data. J Big Data 2(1):5","journal-title":"J Big Data"},{"issue":"4","key":"7788_CR11","first-page":"139","volume":"3","author":"M Govindarajan","year":"2013","unstructured":"Govindarajan M (2013) Sentiment analysis of movie reviews using hybrid method of naive bayes and genetic algorithm. Inte J Adv Comput Res 3(4):139","journal-title":"Inte J Adv Comput Res"},{"key":"7788_CR12","unstructured":"Hao H (2014) Recursive deep learning for sentiment analysis over social data. In Proceedings of the 2014 IEEE\/WIC\/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), pp. 180-185"},{"key":"7788_CR13","doi-asserted-by":"publisher","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":"7788_CR14","doi-asserted-by":"crossref","unstructured":"Himelboim I, Smith MA, Rainie L, Shneiderman B, Espina C (2017) Classifying twitter topic-networks using social network analysis. Social Media+ Society, 1-13","DOI":"10.1177\/2056305117691545"},{"key":"7788_CR15","doi-asserted-by":"crossref","unstructured":"Islam, J, Zhang Y (2016) Visual sentiment analysis for social images using transfer learning approach. In IEEE International Conferences on Big Data and Cloud Computing (BDCloud) pp. 124-130","DOI":"10.1109\/BDCloud-SocialCom-SustainCom.2016.29"},{"issue":"4","key":"7788_CR16","first-page":"367","volume":"5","author":"A Kaur","year":"2013","unstructured":"Kaur A, Gupta V (2013) A survey on SA and opinion mining techniques. J Emerg Technol Web Intell 5(4):367\u2013371","journal-title":"J Emerg Technol Web Intell"},{"key":"7788_CR17","doi-asserted-by":"crossref","unstructured":"Li G, Hoi SC, Chang K, Jain R (2010) Micro-blogging sentiment detection by collaborative online learning. In IEEE 10th International Conference on Data Mining (ICDM), pp. 893-898","DOI":"10.1109\/ICDM.2010.139"},{"key":"7788_CR18","doi-asserted-by":"crossref","unstructured":"Liao S, Wang J, Yu R, Sato K, & Cheng Z (2017) CNN for situations understanding based on SA of twitter data. Procedia Computer Science, 376-381","DOI":"10.1016\/j.procs.2017.06.037"},{"issue":"2","key":"7788_CR19","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1007\/s11280-015-0381-x","volume":"20","author":"AS Manek","year":"2017","unstructured":"Manek AS, Shenoy PD, Mohan MC, Venugopal KR (2017) Aspect term extraction for sentiment analysis in large movie reviews using Gini Index feature selection method and SVM. World wide web 20(2):135\u2013154","journal-title":"World wide web"},{"key":"7788_CR20","unstructured":"McCallum A, Nigam K (1998) A comparison of event models for na\u00efve Bayes text classi-cation, in Proc. AAAI Workshop Learn. Text Catego-rization, pp. 41-48"},{"key":"7788_CR21","doi-asserted-by":"crossref","unstructured":"Ouyang X, Pan Z, Cheng H, Lijun L (2015) Sentiment analysis using convolutional neural network. In IEEE 2015 International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, , pp. 2359-2364","DOI":"10.1109\/CIT\/IUCC\/DASC\/PICOM.2015.349"},{"key":"7788_CR22","doi-asserted-by":"crossref","unstructured":"Pang B, Lee L (2005) Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In Proceedings of the 43rd annual meeting on association for computational linguistics, pp. 115-124","DOI":"10.3115\/1219840.1219855"},{"key":"7788_CR23","doi-asserted-by":"crossref","unstructured":"Ruangkanokmas P, Achalakul T, Akkarajitsakul K (2016) Deep belief networks with feature selection for sentiment classification. In IEEE 7th International Conference on Intelligent Systems, Modelling and Simulation (ISMS), pp. 9-14","DOI":"10.1109\/ISMS.2016.9"},{"key":"7788_CR24","doi-asserted-by":"crossref","unstructured":"Sanguansat P (2016) Paragraph2vec-based sentiment analysis on social media for business in thailand. In IEEE 8th International Conference on Knowledge and Smart Technology (KST), pp. 175-178","DOI":"10.1109\/KST.2016.7440526"},{"key":"7788_CR25","doi-asserted-by":"crossref","unstructured":"Severyn A, & Moschitti A (2015) Twitter sentiment analysis with deep convolutional neural networks. In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval pp. 959-962. ACM","DOI":"10.1145\/2766462.2767830"},{"issue":"1","key":"7788_CR26","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1186\/s13673-017-0116-3","volume":"7","author":"J Singh","year":"2017","unstructured":"Singh J, Singh G, Singh R (2017) Optimization of sentiment analysis using machine learning classifiers. Human-centric Comput Inf Sci 7(1):32","journal-title":"Human-centric Comput Inf Sci"},{"key":"7788_CR27","doi-asserted-by":"crossref","unstructured":"Srivastava A, Singh MP, Kumar P (2014) Supervised semantic analysis of product reviews using weighted k-NN classifier. In 11th IEEE International Conference on Information Technology: New Generations (ITNG), pp. 502-507","DOI":"10.1109\/ITNG.2014.99"},{"key":"7788_CR28","unstructured":"Syed AZ, Aslam M, Martinez-Enriquez AM (2010) Lexicon based SA of Urdu text using SentiUnits. In Mexican International Conference on Artificial Intelligence Springer, Berlin, Heidelberg pp. 32-43"},{"key":"7788_CR29","doi-asserted-by":"publisher","first-page":"821","DOI":"10.1016\/j.procs.2015.07.523","volume":"57","author":"A Tripathy","year":"2015","unstructured":"Tripathy A, Agrawal A, Rath SK (2015) Classification of Sentimental Reviews Using Machine Learning Techniques. Procedia Comput Sci 57:821\u2013829","journal-title":"Procedia Comput Sci"},{"key":"7788_CR30","unstructured":"Wang S, Manning CD (2012) Baselines and bigrams: Simple, good sentiment and topic classification. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics"},{"key":"7788_CR31","doi-asserted-by":"crossref","unstructured":"Yanmei L, Yuda C (2015) Research on Chinese Micro-Blog Sentiment Analysis Based on Deep Learning. In IEEE 8th International Symposium on Computational Intelligence and Design (ISCID), pp. 358-361","DOI":"10.1109\/ISCID.2015.217"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-07788-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-019-07788-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-07788-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,9]],"date-time":"2020-06-09T23:23:38Z","timestamp":1591745018000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-019-07788-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,11]]},"references-count":31,"journal-issue":{"issue":"18","published-print":{"date-parts":[[2019,9]]}},"alternative-id":["7788"],"URL":"https:\/\/doi.org\/10.1007\/s11042-019-07788-7","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,6,11]]},"assertion":[{"value":"29 August 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 April 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 May 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 June 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}