{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T06:38:48Z","timestamp":1776926328406,"version":"3.51.2"},"reference-count":70,"publisher":"Tech Science Press","issue":"3","license":[{"start":{"date-parts":[[2025,8,3]],"date-time":"2025-08-03T00:00:00Z","timestamp":1754179200000},"content-version":"vor","delay-in-days":214,"URL":"https:\/\/doi.org\/10.32604\/TSP-CROSSMARKPOLICY"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2025]]},"DOI":"10.32604\/cmc.2025.066910","type":"journal-article","created":{"date-parts":[[2025,7,16]],"date-time":"2025-07-16T07:51:41Z","timestamp":1752652301000},"page":"4105-4153","update-policy":"https:\/\/doi.org\/10.32604\/tsp-crossmarkpolicy","source":"Crossref","is-referenced-by-count":2,"title":["Exploring the Effectiveness of Machine Learning and Deep Learning Algorithms for Sentiment Analysis: A Systematic Literature Review"],"prefix":"10.32604","volume":"84","author":[{"given":"Jungpil","family":"Shin","sequence":"first","affiliation":[]},{"given":"Wahidur","family":"Rahman","sequence":"additional","affiliation":[]},{"given":"Tanvir","family":"Ahmed","sequence":"additional","affiliation":[]},{"given":"Bakhtiar","family":"Mazrur","sequence":"additional","affiliation":[]},{"given":"Md. Mohsin","family":"Mia","sequence":"additional","affiliation":[]},{"given":"Romana","family":"Idress Ekfa","sequence":"additional","affiliation":[]},{"given":"Md. Sajib","family":"Rana","sequence":"additional","affiliation":[]},{"given":"Pankoo","family":"Kim","sequence":"additional","affiliation":[]}],"member":"17807","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref1","first-page":"90","author":"Wang","year":"2012","journal-title":"Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)"},{"key":"ref2","first-page":"142","author":"Maas","year":"2011","journal-title":"Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"Hochreiter","year":"1997","journal-title":"Neural Computation"},{"key":"ref4","first-page":"4171","volume":"1","author":"Devlin","year":"2019","journal-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"1631","DOI":"10.18653\/v1\/D13-1170","author":"Socher","year":"2013","journal-title":"Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1109\/MCI.2014.2307227","article-title":"Jumping NLP curves: a review of natural language processing research","volume":"9","author":"Cambria","year":"2014","journal-title":"IEEE Computat Intell Magaz"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1109\/MIS.2017.4531228","article-title":"Sentiment analysis is a big suitcase","volume":"32","author":"Cambria","year":"2017","journal-title":"IEEE Intell Syst"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"e1253","DOI":"10.1002\/widm.1253","article-title":"Deep learning for sentiment analysis: a survey","volume":"8","author":"Zhang","year":"2018","journal-title":"WIREs Data Mini Knowl Disc"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1146\/annurev-statistics-030718-105242","article-title":"Sentiment analysis","volume":"6","author":"Stine","year":"2019","journal-title":"Ann Rev Statist Applicat"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1561\/1500000011","article-title":"Opinion mining and sentiment analysis","volume":"2","author":"Pang","year":"2008","journal-title":"Foundat Trends\u00ae in Inform Retriev"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1145\/2436256.2436274","article-title":"Techniques and applications for sentiment analysis","volume":"56","author":"Feldman","year":"2013","journal-title":"Commun ACM"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"119862","DOI":"10.1016\/j.eswa.2023.119862","article-title":"A review on sentiment analysis from social media platforms","volume":"223","author":"Rodr\u00edguez-Ib\u00e1nez","year":"2023","journal-title":"Expert Syst Appl"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"723","DOI":"10.1613\/jair.4272","article-title":"Sentiment analysis of short informal texts","volume":"50","author":"Kiritchenko","year":"2014","journal-title":"J Artif Intellig Res"},{"key":"ref14","series-title":"Proceedings of the International AAAI Conference on Web and Social Media; 2014 Jun 1\u20134","first-page":"216","article-title":"Vader: A parsimonious rule-based model for sentiment analysis of social media text","author":"Hutto"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"2544","DOI":"10.1002\/asi.21416","article-title":"Sentiment strength detection in short informal text","volume":"61","author":"Thelwall","year":"2010","journal-title":"J American Soc Inform Sci Technol"},{"key":"ref16","series-title":"Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC\u201910)","first-page":"1320","article-title":"Twitter as a corpus for sentiment analysis and opinion mining","author":"Pak","year":"2010"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.eswa.2016.03.028","article-title":"Classification of sentiment reviews using n-gram machine learning approach","volume":"57","author":"Tripathy","year":"2016","journal-title":"Expert Syst Applicat"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"217","DOI":"10.2753\/MIS0742-1222290408","article-title":"Emotions and information diffusion in social media-sentiment of microblogs and sharing behavior","volume":"29","author":"Stieglitz","year":"2013","journal-title":"J Manag Inform Syst"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jocs.2010.12.007","article-title":"Twitter mood predicts the stock market","volume":"2","author":"Bollen","year":"2011","journal-title":"J Computat Sci"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1007\/s44163-023-00065-5","article-title":"NLP techniques for automating responses to customer queries: a systematic review","volume":"3","author":"Olujimi","year":"2023","journal-title":"Disc Artif Intell"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"1991","DOI":"10.3390\/electronics13101991","article-title":"Hybrid natural language processing model for sentiment analysis during natural crisis","volume":"13","author":"Horvat","year":"2024","journal-title":"Electronics"},{"key":"ref22","unstructured":"Yilmaz B. 15 Sentiment Analysis Statistics in 2023; 2023 [Internet]. [cited 2025 Jun 19]. Available from: https:\/\/research.aimultiple.com\/sentiment-analysis-stats\/."},{"key":"ref23","article-title":"Twitter sentiment classification using distant supervision","author":"Go","year":"2009","journal-title":"CS224N project report. Stanford"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"115192","DOI":"10.1016\/j.jbusres.2025.115192","article-title":"The influence of emotions and communication style on customer satisfaction and recommendation in a call center context: an NLP-based analysis","volume":"189","author":"De Cleen","year":"2025","journal-title":"J Bus Res"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"e2592","DOI":"10.7717\/peerj-cs.2592","article-title":"Evolving techniques in sentiment analysis: a comprehensive review","volume":"11","author":"Kumar","year":"2025","journal-title":"PeerJ Comput Sci"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"3005","DOI":"10.1007\/s10462-022-10246-w","article-title":"Human-in-the-loop machine learning: a state of the art","volume":"56","author":"Mosqueira-Rey","year":"2023","journal-title":"Artif Intell Rev"},{"key":"ref27","first-page":"4219","article-title":"DeBERTa-GRU: sentiment analysis for large language model","volume":"79","author":"Assiri","year":"2024","journal-title":"Comput Mat Cont"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1007\/s42979-022-01326-3","article-title":"Deep learning models for the diagnosis and screening of COVID-19: a systematic review","volume":"3","author":"Siddiqui","year":"2022","journal-title":"SN Comput Sci"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"878","DOI":"10.1016\/j.nedt.2012.02.022","article-title":"A structured approach to documenting a search strategy for publication: a 12 step guideline for authors","volume":"32","author":"Kable","year":"2012","journal-title":"Nurse Educat Today"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1111\/jebm.12141","article-title":"The methodological quality assessment tools for preclinical and clinical studies, systematic review and meta-analysis, and clinical practice guideline: a systematic review","volume":"8","author":"Zeng","year":"2015","journal-title":"J Evid-Based Med"},{"key":"ref31","unstructured":"NIH N. Study quality assessment tools. National Heart, Lung, and Blood Institute; 2021 [Internet]. [cited 2025 Jun 19]. Available from: https:\/\/www.nhlbi.nih.gov\/health-topics\/study-quality-assessment-tools."},{"key":"ref32","unstructured":"Kempthorne DP. MIT 18.655-Mathematical Statistics-Lecture Note 7. MIT OpenCourseWare; 2016 [Internet]. [cited 2025 Jun 19]. Available from: https:\/\/ocw.mit.edu\/courses\/18-655-mathematical-statistics-spring-2016\/resources\/mit18_655s16_lecnote7\/."},{"key":"ref33","unstructured":"Wang B. STAT:4100-Chapter 3-Some Special Distributions. The University of Iowa; 2018 [Internet]. [cited 2025 Jun 19]. Available from: https:\/\/myweb.uiowa.edu\/boxwang\/files\/Chapter3.pdf."},{"key":"ref34","doi-asserted-by":"crossref","first-page":"1316","DOI":"10.3390\/app12031316","article-title":"Transformer-based graph convolutional network for sentiment analysis","volume":"12","author":"AlBadani","year":"2022","journal-title":"Appl Sci"},{"key":"ref35","series-title":"2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE); 2022 Apr 28\u201329","first-page":"112","article-title":"Sentiment analysis using NLP and machine learning techniques on social media data","author":"Kavitha","year":"2022"},{"key":"ref36","volume":"463","author":"Baeza-Yates","year":"1999","journal-title":"Modern information retrieval"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"2694","DOI":"10.3390\/app12052694","article-title":"Deep sentiment analysis using CNN-LSTM architecture of english and roman urdu text shared in social media","volume":"12","author":"Khan","year":"2022","journal-title":"Appl Sci"},{"key":"ref38","first-page":"1","article-title":"Deep learning CNN-LSTM framework for Arabic sentiment analysis using textual information shared in social networks","volume":"10","author":"Ombabi","year":"2020","journal-title":"Soc Netw Analy Min"},{"key":"ref39","series-title":"2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC); 2022 Jan 26\u201329","first-page":"347","article-title":"Bangla food review sentimental analysis using machine learning","author":"Hossain Junaid"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"10844","DOI":"10.3390\/su141710844","article-title":"Sentiment analysis of consumer reviews using deep learning","volume":"14","author":"Iqbal","year":"2022","journal-title":"Sustainability"},{"key":"ref41","unstructured":"Kingma DP, Ba J. Adam: a method for stochastic optimization. arXiv:1412.6980. 2017."},{"key":"ref42","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1007\/978-3-642-38067-9_27","author":"Wang","year":"2013","journal-title":"Multiple classifier systems"},{"key":"ref43","series-title":"2020 National Conference on Communications (NCC); 2020 Feb 21\u201323","first-page":"1","article-title":"A TfidfVectorizer and SVM based sentiment analysis framework for text data corpus","author":"Kumar"},{"key":"ref44","series-title":"2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS); 2021 Dec 6\u20139","first-page":"01","article-title":"Sentimental analysis of movie reviews using soft voting ensemble-based machine learning","author":"Athar"},{"key":"ref45","doi-asserted-by":"crossref","first-page":"25","DOI":"10.5120\/ijca2018917395","article-title":"Text mining: use of TF-IDF to examine the relevance of words to documents","volume":"181","author":"Qaiser","year":"2018","journal-title":"Int J Comput Applicat"},{"key":"ref46","doi-asserted-by":"crossref","unstructured":"Zhang Y, Wallace B. A sensitivity analysis of (and Practitioners\u2019 Guide to) convolutional neural networks for sentence classification. arXiv:1510.03820. 2016.","DOI":"10.21437\/Interspeech.2016-354"},{"key":"ref47","doi-asserted-by":"crossref","first-page":"212","DOI":"10.11591\/ijai.v9.i2.pp212-220","article-title":"Sentiment analysis of informal Malay tweets with deep learning","volume":"9","author":"Ong","year":"2020","journal-title":"IAES Int J Artif Intell"},{"key":"ref48","unstructured":"Weinberger K. CS4780-machine learning for intelligent systems-lecture 09; 2018 [Internet]. [cited 2025 Jun 19]. Available from: https:\/\/www.cs.cornell.edu\/courses\/cs4780\/2018fa\/lectures\/lecturenote09.html."},{"key":"ref49","series-title":"2020 23rd International Conference on Computer and Information Technology (ICCIT); 2020 Dec 19\u201321","first-page":"1","article-title":"Product review sentiment analysis by using NLP and machine learning in bangla language","author":"Shafin"},{"key":"ref50","doi-asserted-by":"crossref","first-page":"15391","DOI":"10.1007\/s11042-020-10323-8","article-title":"Joint evaluation of preprocessing tasks with classifiers for sentiment analysis in Brazilian Portuguese language","volume":"80","author":"de Oliveira","year":"2021","journal-title":"Multim Tools Applicat"},{"key":"ref51","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/5254.708428","article-title":"Support vector machines","volume":"13","author":"Hearst","year":"1998","journal-title":"IEEE Intell Syst Applicat"},{"key":"ref52","series-title":"2022 6th International Conference on Computing Methodologies and Communication (ICCMC); 2022 Mar 29\u201331","first-page":"902","article-title":"Sentiment analysis using machine learning and NLP for digital education","author":"Hossen"},{"key":"ref53","unstructured":"Kim Y. Convolutional neural networks for sentence classification. arXiv.1408.5882. 2014. doi:10.48550\/arXiv.1408.5882."},{"key":"ref54","doi-asserted-by":"crossref","first-page":"5923","DOI":"10.1364\/OE.416672","article-title":"Bi-directional gated recurrent unit neural network based nonlinear equalizer for coherent optical communication system","volume":"29","author":"Liu","year":"2021","journal-title":"Opt Express"},{"key":"ref55","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.neucom.2021.09.057","article-title":"BiERU: bidirectional emotional recurrent unit for conversational sentiment analysis","volume":"467","author":"Li","year":"2022","journal-title":"Neurocomputing"},{"key":"ref56","doi-asserted-by":"crossref","first-page":"329","DOI":"10.3390\/idr13020032","article-title":"Sentimental analysis of COVID-19 tweets using deep learning models","volume":"13","author":"Chintalapudi","year":"2021","journal-title":"Infect Dis Rep"},{"key":"ref57","doi-asserted-by":"crossref","first-page":"3709","DOI":"10.3390\/app12083709","article-title":"A deep learning approach for sentiment analysis of COVID-19 reviews","volume":"12","author":"Singh","year":"2022","journal-title":"Appl Sci"},{"key":"ref58","doi-asserted-by":"crossref","first-page":"463","DOI":"10.11591\/ijeecs.v23.i1.pp463-470","article-title":"Sentiment analysis on twitter tweets about COVID-19 vaccines using NLP and supervised KNN classification algorithm","volume":"23","author":"Mehedi Shamrat","year":"2021","journal-title":"Indonesian J Elect Eng Comput Sci"},{"key":"ref59","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1177\/0165551519828627","article-title":"Twitter sentiment analysis using fuzzy integral classifier fusion","volume":"46","author":"Emadi","year":"2020","journal-title":"J Informat Sci"},{"key":"ref60","series-title":"2022 56th Annual Conference on Information Sciences and Systems (CISS); 2022 Mar 9\u201311","first-page":"166","article-title":"Product market demand analysis using NLP in Banglish text with sentiment analysis and named entity recognition","author":"Hossain"},{"key":"ref61","unstructured":"Anny FTZ, Islam O. Sentiment analysis and opinion mining on E-commerce site. arXiv:2211.15536. 2023."},{"key":"ref62","doi-asserted-by":"crossref","first-page":"2455160","DOI":"10.1155\/2022\/2455160","article-title":"Sentimental analysis of twitter users from Turkish content with natural language processing","volume":"2022","author":"Balli","year":"2022","journal-title":"Comput Intell Neurosci"},{"key":"ref63","doi-asserted-by":"crossref","first-page":"9779","DOI":"10.1038\/s41598-022-13153-w","article-title":"Character gated recurrent neural networks for Arabic sentiment analysis","volume":"12","author":"Omara","year":"2022","journal-title":"Sci Rep"},{"key":"ref64","doi-asserted-by":"crossref","first-page":"1313","DOI":"10.18421\/TEM94-01","article-title":"Suspicious activity detection of Twitter and Facebook using sentimental analysis","volume":"9","author":"Al Mansoori","year":"2020","journal-title":"TEM J"},{"key":"ref65","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1007\/s13278-023-01043-6","article-title":"An enhanced approach for sentiment analysis based on meta-ensemble deep learning","volume":"13","author":"Kora","year":"2023","journal-title":"Soc Netw Anal Min"},{"key":"ref66","doi-asserted-by":"crossref","first-page":"8899","DOI":"10.1007\/s11042-022-12181-y","article-title":"Financial sentiment analysis model utilizing knowledge-base and domain-specific representation","volume":"82","author":"Agarwal","year":"2023","journal-title":"Multim Tools Applicat"},{"key":"ref67","first-page":"247","author":"Suresh","year":"2022","journal-title":"International Conference on Computing, Communication, Electrical and Biomedical Systems"},{"key":"ref68","doi-asserted-by":"crossref","first-page":"103539","DOI":"10.1016\/j.jbi.2020.103539","article-title":"Comparing deep learning architectures for sentiment analysis on drug reviews","volume":"110","author":"Col\u00f3n-Ruiz","year":"2020","journal-title":"J Biomed Inform"},{"key":"ref69","series-title":"2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT); 2022 Apr 21\u201322","first-page":"1","article-title":"Deep learning approach for sentimental analysis of hotel review on Bengali text","author":"Bonny"},{"key":"ref70","doi-asserted-by":"crossref","first-page":"20152","DOI":"10.1007\/s10489-023-04471-1","article-title":"Game theory and MCDM-based unsupervised sentiment analysis of restaurant reviews","volume":"53","author":"Punetha","year":"2023","journal-title":"Appl Intellig"}],"container-title":["Computers, Materials &amp; Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-84-3\/TSP_CMC_66910\/TSP_CMC_66910.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T05:45:19Z","timestamp":1776923119000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v84n3\/63201"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":70,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.066910","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"2025-04-20","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-06-20","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-07-30","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}