Abstract Social media is currently a place where people create and share contents at a massive rate. Because of its ease of use, speed and reach, it is fast changing the public discourse in society and setting trends and agendas in different topics including environment, politics technology, entertainment etc. As it is a form of collective wisdom, we decided to investigate its power at predicting real-world outcomes. The objective was to design a Twitter-based sentiment mining. We introduce a keyword-aware user-based collective tweet mining approach to rank the sentiment of each user. To prove the accuracy of this method, we chose an Election Winner Prediction application and observed how the sentiments of people on different political issues at that time got reflected in their votes. A Domain thesaurus is built by collecting keywords related to each issue. Twitter data being huge in size and difficult to process, we use a scalable and efficient Map Reduce programming model-based approach, to classify the tweets. The experiments were designed to predict the winner of Delhi Assembly Elections 2015, by analyzing the sentiments of people on political issues and from this analysis, we accurately predicted that Aam Admi Party has a higher support, compared to Bharathiya Janatha Party (BJP), the ruling party. Thus, a Big Data Approach that has widespread applications in today’s world, is used for sentiment analysis on Twitter data.

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[27] USQL Sentiment Analysis tool by Microsoft Azure https://msdn.microsoft.com/en- us/azure/data-lake-analytics/u-sql/sentiment- analysis-u-sql, Last Visited, 2017. Lija Mohan has completed her Ph.D. in Big Data Security from School of Engineering (SOE), Department of Cochin University of Science & Technology (CUSAT) and currently working as Cyber security Specialist at Prevalent AI Pvt Ltd. She took her Masters and Bachelor Degree in Computer Science, both from Mahatma Gandhi University. She has several International publications to her credit and she is the recipient of AWS Research Grant and Inspire Fellowship. Sudheep Elayidom is working as Professor at the Computer Science Division of Cochin University of Science and Technology, Kerala, India. He received his Masters and Bachelors from Mahatma Gandhi University and Ph.D. from Cochin University of Science and Technology, all in the field of Computer Science. He has delivered keynote addresses, invited seminars, and served as session chair for international conferences and workshops. Also, he has authored several journals, books and conference articles.