Abstract

Sentiment analysis is process of extracting information from user’s opinions. Every person shares his or her information on social network sites, blogs, product review websites and web-forums. Thus, we get familiar with the thinking of the other people. People’s thinking that provides an information that helps in decision making process. This Paper describe different applications of sentiment analysis, techniques and challenges of sentiment analysis.

References

• Walaa Meddhat , Ahmed Hassan ,Hoda Korashy “Sentiment analysis algorithms and applications: A survey, Ain Sham University, Faculty of Engineering, Computer & Systems Department, Egypt 19 April 2014.
• Xing Fang and Justin Zhan “sentiment analysis using product Review data” Department of computer science, North Carolina a&T State University Greensboro, NC, USA, 2015 Springer journal.
• Ebru Aydogan and M. Ali Akcayol “A Comprehensive Survey for Sentiment Analysis Tasks Using Machine Learning Techniques” Department of Computer Engineering Gazi University Ankara, Turkey 2016 IEEE
• Bogdan Batrinc, Philip C. Treleaven ”Social media analytics: a survey of techniques, tools and platforms Department of computer science, University College London, Grower Street, London WCIE 6BT, UK Published on 26 July 2014.
• Soo-Min Kim, Eduard Hovy, “Determining the Sentiment Opinions”, Information Sciences Institute University of Southern California Marinadel Rey, CA 90292-6695, 2004.
• Hong Yu, Vasileios Hatzivassiloglou, “Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences” Department of Computer Science Columbia University, Newyork, NY 10027, USA.
• Federico Neri Carlo Aliprandi Federico Capeci Montserrat Cuadros Tomas “Sentiment Analysis on Social Media” IEEE/ACM 2012
• Tan Li Im, Phang Wai San, Chain Kim On, Center of Excellence in Semantic Agents, University Malaysia , Patrica Anthony, Department of Information and Enabling Technologies, Faculty of Environment, Society and Design, Linclon University, Christchruch, New Zealand ”Rule-based Sentiment Analysis for Financial News, 2015 IEEE .
• Ankush Sharma, Aakanksha, Assistant Professor, Department of C.S.E, Chandigarh University Gharuan, India, International journal of Advanced Research in Computer and Communication Engineering, “ A Comparative Study Of Sentiments Analysis Using Rule Based and Support Vector Machine ” volume 3, March 2014 .
• Chin-Shrng Yang, Hsiao-Ping Shih, Department of Information Management, Yuan Ze University, Chang-Li, Taiwan,” A Rule-Based Approach For Effective Sentiment Analysis” PACIS 2012.
• Prern Chikersal, Soujanya Poria, and Erik Cambria, School of Computer Engineering Nanyang Technological University Singapore-639798,“ SeNTU: Sentiment Analysis of Tweets By Combining a Rule-based Classifier with Supervised Learning” June 5 2015.
• Neethu M S Rajasree R Department of Computer Science and Engineering “Sentiment Analysis in Twitter using Machine Learning Techniques” IEEE 2013
• Geetika Gautam Divakar yadav Department of Computer Science & Engg. Sentiment Analysis of Twitter Data Using Machine Learning Approaches and Semantic Analysis IEEE 2014
• Chandni, Nav Chandra, Sarishty Gupta, Renuka Pahade MSc[Eng] (Software Engineering), The University of Sheffield, United Kingdom “Sentiment Analysis and its Challenges” International Journal of Engineering Research & Technology (IJERT) 2015
• Vishal A. Kharde S.S. Sonawane Department of Computer Engg, Pune Institute of Computer Technology, Pune University of Pune (India) “Sentiment Analysis of Twitter Data: A Survey of Techniques” International Journal of Computer Applications April 2016
• Sujata Rani and Parteek Kumar “Rule Based Sentiment Analysis System” Elsevier Publications 2014.