1. 1. BholaneSavitaDattu and Prof. Deipali V. Gore, "A Survey on Sentiment Analysis on Twitter Data Using Different Techniques", International Journal of Computer Science and Information Technologies, Vol. 6, 2015.
   2. RushleneKaurBakshi, Ravneetkaur, Navneetkaur and Gurpreetkaur, "Opinion Mining and Sentiment Analysis", IEEE Third International Conference, 2016.
   3. PragyaTripathi, Santosh Kr Vishwakarma and Ajay Lala,"Sentiment Analysis of English Tweets Using Rapid Miner", IEEE International conference, 2015.
   4. Shubhi Mittal, AshnaGoel and RachnaJain,"Sentiment Analysis of E-commerce and Social Networking Sites",IEEE Third International Conference, 2016.
   5. Shachi H Kumar, "Twitter Sentiment analysis", CMPS 242 Project Report.
   6. TanuVerma, Renuand Deepti Gaur, " Tokenization and Filtering Process in RapidMiner", International Journal of Applied Information Systems (IJAIS), Volume 7– No. 2, April 2014.
   7. Xindong Wu, Vipinkumar, JoydeepGhosh,"Top 10 algorithms in Data Mining", Springer-Verlag London Limited 2007, Dec 2007.
   8. https://rayli.net/blog/data/top-10-data-mining-algorithmsin-plain-english/
   9. GautamiTripathi and Naganna S2, "Opinion Mining: A Review", International Journal of Information & Computation Technology, vol. 4, pp. 1625-1635, 2014.
   10. Nidhi R. Sharma, Prof. Vidya D. Chitre, "Opinion Mining Analysis and its Challenges", International Journal of Innovations & Advancement in Computer Science, vol. 3, Issue 1, April 2014.
   11. HaseenaRahmath P, "Opinion Mining and Sentiment Analysis – Challenges and Applications", International Journal of Application or Innovation in Engineering & Management (IJAIEM), Vol. 3, Issue 5, pp. 401-403, May 2014.
   12. DongSung Kim and Jong Woo Kim, "Public Opinion Mining on Social Media: A Case Study of Twitter Opinion on Nuclear Power", Advanced Science and Technology Letters, Vol.51 (CESCUBE 2014), pp.224-228, 2014.
   13. Rushabh Shah and Bhoomit Patel, "Procedure of Opinion Mining and Sentiment Analysis: A Study", International Journal of Current Engineering and Technology, vol. 4, No. 6, pp.4086-4090, December 2014.
   14. Sakshikalra, Rajesh Sachdeva and Anjali Dhawan, "A Review: Sentiment Analysis and Opinion Mining", International Journal of Research in Engineering and Applied Sciences (IJREAS), Vol. 6 Issue 10, pp. 16-21, October - 2016.
   15. Meghachauhan, "Opinion mining for effective product selection", International Journal of Advance Engineering and Research Development, vol. 3, Issue 4, pp. 429-433, April -2016.
   16. BlessySelvam, S.Abirami, "A Survey on opinion mining framework ", International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 9, pp. 3544-3549, September 2013.
   17. Diana Maynard and Adam Funk, "Automatic Detection of Political Opinions in Tweets", ESWC'11 Proceedings of 8th international conference on The Semantic Web, Pages 88-99.
   18. B. Pang, L. Lee, and S. Vaithyanathan, “Thumbs up?: sentiment classification using machine learning techniques,” Proceedings of the ACL-02 conference on Empirical methods in natural language processing, vol.10, pp. 79-86, 2002.
   19. P.D. Turney, “Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews.” Proceedings of the Association for Computational Linguistics (ACL), pp. 417–424, 2002.