1. 1. NecmiyeGenc-Nayebi, Alain Abran, “A Systematic Literature Review: Opinion Mining Studies from Mobile App Store User Reviews”, S0164-1212(16)30229-1.
   2. Nikos Tsirakis, VasilisPoulopoulos, PanagiotisTsantilas, IraklisVarlamis, “Large scale opinion mining for social, news and blog data”, 0164-1212/ 2016 Elsevier Inc
   3. Pankaj Gupta, Ritu Tiwari and Nirmal Robert , “Sentiment Analysis and Text Summarization of Online Reviews: A Survey” ,Proceedings of International Conference on Communication and Signal Processing, pages 0241-0247, April 6-8, 2016, India.
   4. RatabGulla, Umar Shoaiba, SabaRasheedb, WashmaAbidb,BeenishZahoorb, “Pre Processing of Twitter’s Data for Opinion Mining in Political Context”, 1877-0509/ 2016 Elsevier B.V.
   5. Roshan Fernandes, and Rio D’Souza, “Analysis of Product Twitter Data though Opinion Mining”, St. Joseph Engineering College Vamanjoor, India , 2016.
   6. R. Piryani, D. Madhavi, V.K. Singh, “Analytical mapping of opinion mining and sentiment analysis research during 2000–2015”, 0306-4573/ 2016 Elsevier Ltd.
   7. Shiliang Sun, Chen Luo, Junyu Chen, “A Review of Natural Language Processing Techniques for Opinion Mining Systems”, S1566-2535(16)30111-7.
   8. Shweta Rana and Archana Singh , “Comparative Analysis of Sentiment Orientation Using SVM and Naïve Bayes Techniques”, ASET-IT, Amity University Uttar Pradesh , Proceedings of 2nd International Conference on Next Generation Computing Technologies (NGCT2016) , pages 106-112 , Dehradun, 2016.