A framework for text mining on Twitter: a case study on joint comprehensive plan of action (JCPOA)- between 2015 and 2019

Author:

Behzadidoost Rashid,Hasheminezhad MahdiehORCID,Farshi Mohammad,Derhami Vali,Alamiyan-Harandi Farinaz

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,Statistics and Probability

Reference47 articles.

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2. Amarappa, S., Sathyanarayana, S.: Data classification using support vector machine (SVM), a simplified approach. Int. J. Electron. Comput. Sci. Eng. 3, 435–445 (2014)

3. Amiri, F., Scerri, S., Khodashahi, M.: Lexicon-based sentiment analysis for persian text. In: Proceedings of the International Conference Recent Advances in Natural Language Processing, pp. 9–16 (2015)

4. Asgarian, E., Kahani, M., Sharifi, S.: Hesnegar: Persian sentiment wordnet. Signal Data Proc. 15(1), 71–86 (2018)

5. Bae, Jh., Je, Son, Song, M.: Analysis of twitter for 2012 suth korea presidential election by text mining techniques. J. Intell. Inf. Syst. 19(3), 141–156 (2013)

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