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References

  • A. Patil, and S. Thakare, “Analyzing public sentiment variations on and Facebook,” Int. J. Adv. Res. Comput. Sci. Technol., Vol. 5, no. 2, pp. 30–3, April–June. 2017.
  • A. Sharma, A. Sharma, R. K. Singh, and M. D. Upadhayay, “Hybrid classifier for sentiment analysis using effective pipelining,” Int. Res. J. Eng. Technol., Vol. 4, no. 8, pp. 2276–81, August 2017.
  • H. Han, Y. Zhang, J. Zhang, J. Yang, and X. Zou, “Improving the performance of lexicon-based review sentiment analysis method by reducing additionally introduced sentiment bias,” Plos One, Vol. 13, February 2018.
  • K. Zhang, Y. Yu Cheng, A. Agrawal, D. Palsetia, K. Lee, and A. Choudhary, “SES: sentiment elicitation system for social media data,” Icdmsentire, pp. 129–36, 2011.
  • ttp://www..com Last accessed on 12 November 2019.
  • http://cucis.ece.northwestern.edu/projects/Social Last accessed on 14 September 2019.
  • http://jmcauley.ucsd.edu/data/Amazon/ Last accessed on 22 November 10 October 2019.
  • A. Tupsoundarya, and P. S. Dandannavar, “Sentiment expression via emoticons on social media,” Int. J. Res. Appl. Sci. Eng. Technol., Vol. 6, no. 6, pp. 2404–8, June 2018.
  • W. Sharif, N. A. Samsudin, M. M. Deris, R. Naseem, and M. F. Mushtaq, “Effect of negation in sentiment analysis,” Int. J. Comput. Ling. Res., Vol. 8, pp. 47–56, June 2017.
  • L. Wu, F. Morstatter, and H. Liu. “SlangSD: building and using a sentiment dictionary of slang words for short-text sentiment classification,” arXiv: 1608.05129v1 [cs.CL] 17 August 2016.
  • R. S. Perdana, and A. Pinandito, “Combining likes-retweet analysis and naive Bayes classifier within twitter for sentiment analysis,” J. Telecommun., Electron. Comput. Eng., Vol. 10, no. 1–8, pp. 41–6, April 2018.
  • S. Uma Maheswari, and S. S. Dhenakaran, “Sentiment analysis on social media big data with multiple tweet words,” Int. J. Innovative Technol. Exploring Eng., Vol. 8, no. 10, pp. 2514–8, August 2019.
  • A. Sharma, and S. Dey, “Artificial neural network based approach for sentiment analysis of opinionated text,” ACM Transaction, pp. 37–42, 2012.
  • www.Amazon.in Last accessed on 22 August 2019.
  • P. Turney, “Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews,” Proc. Assoc.r Comput. Ling. (ACL), 417–24, 2002.
  • B. Pang, and L. Lee, “Opinion mining and sentiment analysis,” Found. Trends Inf. Retrieval, Vol. 2, no. 1–2, pp. 1–135, 2008.
  • S. Tan, Y. Li, H. Sun, Z. Guan, X. Yan, J. Bu, C. Chen, and X. He, “Interpreting the public sentiment variations on twitter,” IEEE Trans. Knowl. Data Eng., Vol. 26, no. 5, pp. 1158–70, May 2014.
  • P. B. Filho, L. Avanço, T. Pardo, and M. D. G. V. Nunes, “NILC_USP: an improved hybrid system for sentiment analysis in Twitter messages,” in Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval2014), 2014.
  • P. Gonçalves, M. Araújo, F. Benevenuto, and M. Cha. Comparing and combining sentiment analysis methods. 2014.
  • M. Iqbal, A. Karim, and F. Kamiran, “Bias-aware lexicon-based sentiment analysis,” in ACM Symposium on Applied Computing, 2015, pp. 845–50.
  • N. A. Vidya, M. I. Fanany, and I. Budi, “Twitter sentiment to analyze net brand reputation of mobile phone providers,” Procedia. Comput. Sci., Vol. 72, pp. 519–26, 2015.
  • F. Gorunescu. Data mining concepts, models and techniques, BV. Wowk, machinery vibration, measurement and analysis. New York: McGraw-Hill, 1991.

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