c24b3f4d-8917-4420-bc6e-4a84e2525a59 beie director@blueeyesintelligence.org 10.35940/ijitee.H9266.0610821 10.1016/j.dss.2014.07.003Nadia F. F. Da Silva, Eduardo R. Hruschka, and Estevam R. Hruschka Jr, "Tweet sentiment analysis with classifier ensembles," Decision Support Systems, vol. 66, pp. 170-179, 2014.10.1016/j.ins.2010.11.023Rui Xia, Chengqing Zong, and Shoushan Li, "Ensemble of feature sets and classification algorithms for sentiment classification," Information Sciences, vol. 181, pp. 1138-1152, 2011.10.1016/j.dss.2013.08.002Gang Wang, Jianshan Sun, Jian Ma, Kaiquan Xu, and Jibao Gu, "Sentiment classification: The contribution of ensemble learning," Decision Support Systems, vol. 57, pp. 77-93, Jan. 2014.10.1109/ICCCNT.2013.6726818M. S. Neethu and R. Rajasree, "Sentiment analysis in Twitter using machine learning techniques," in 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT), 2013, pp. 1-5.Neelam Duhan Ashima Garg, "Sarcasm Detection On Twitter Data Using Support Vector Machine," Ictact Journal On Soft Computing, vol. VOLUME: 10, no. ISSUE: 04, pp. 2165-2170, July 2020.10.3115/v1/S14-2026Pablo Gamallo and Marcos Garcia, "Citius: A naive-bayes strategy for sentiment analysis on English tweets," in Proceedings of the 8th international Workshop on Semantic Evaluation (SemEval 2014), 2014, pp. 171-175.10.1109/IC3.2014.6897213Geetika Gautam and Divakar Yadav, "Sentiment analysis of Twitter data using machine learning approaches and semantic analysis," in 2014 Seventh International Conference on Contemporary Computing (IC3), 2014, pp. 437-442.10.1109/ICDMW.2015.7Yun Wan and Qigang Gao, "An ensemble sentiment classification system of Twitter data for airline services analysis," in 2015 IEEE international conference on data mining workshop (ICDMW), 2015, pp. 1318-1325.Alexander Pak and Patrick Paroubek, "Twitter as a corpus for sentiment analysis and opinion mining" in LREc, vol. 10, 2010, pp. 1320-1326.Akshi Kumar and Teeja Mary Sebastian, "Sentiment analysis on Twitter," International Journal of Computer Science Issues (IJCSI), vol. 9, p. 372, 2012.10.3390/mca23010011Sana Moin, Ahmad Karim and Shahaboddin Shamshirband Ali Hasan, "Machine Learning-Based Sentiment Analysis for Twitter Accounts," Mathematical and Computational Applications, vol. 23, no. 11, pp. 1-15, February 2018.Anas Mahmoud Grant Williams, "Mining Twitter Data for a More Responsive," in 2017 IEEE/ACM 39th IEEE International Conference on Software Engineering Companion, Buenos Aires, 2017.10.5120/ijca2016908625A. Vishal and S. S. Sonawane, "Sentiment Analysis of Twitter Data: A Survey of Techniques," International Journal of Computer Applications, vol. 139, pp. 5-15, Apr. 2016.Akshay Amolik, Niketan Jivane, Mahavir Bhandari, and M. Venkatesan, "Twitter sentiment analysis of movie reviews using machine learning techniques," international Journal of Engineering and Technology, vol. 7, pp. 1-7, 2016.10.1016/j.asej.2014.04.011Walaa Medhat, Ahmed Hassan, and Hoda Korashy, "Sentiment analysis algorithms and applications: A survey," Ain Shams engineering journal, vol. 5, pp. 1093-1113, 2014.10.1016/j.procs.2018.05.109Nabizath Saleena and others, "An Ensemble Classification System for Twitter Sentiment Analysis," Procedia computer science, vol. 132, pp. 937-946, 2018.10.1016/j.dss.2013.09.004Farhan Hassan Khan, Saba Bashir, and Usman Qamar, "TOM: Twitter opinion mining framework using hybrid classification scheme," Decision Support Systems, vol. 57, pp. 245-257, 2014.