Using VADER sentiment and SVM for predicting customer response sentiment

Author:

Borg AntonORCID,Boldt Martin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference29 articles.

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2. Letters by phone or speech by other means: the linguistics of email;Baron;Language & Communication,1998

3. Basari, A.S.H., Hussin, B., Ananta, I.G.P., & Zeniarja, J. (2013). Opinion mining of movie review using hybrid method of support vector machine and particle swarm optimization. Procedia Engineering 53, 453–462. URL: http://www.sciencedirect.com/science/article/pii/S1877705813001781, 2012, doi: 10.1016/j.proeng.2013.02.059. malaysian Technical Universities Conference on Engineering & Technology 2012, MUCET.

4. Bishop, C. M., 2006. Pattern recognition and machine learning. Information science and statistics, Springer, New York, NY. URL: https://cds.cern.ch/record/998831. softcover published in 2016.

5. Chang, C. C., & Lin, C. J. (2011). LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology 2, 27:1–27:27. Software available at http://www.csie.ntu.edu.tw/ cjlin/libsvm.

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