Towards Sentiment Analysis: A powerful technique for Data Analytics

With the advancement of cyberspace of social networking, blogging and micro-blogging websites increasing popularity, leads to an enormous increase in the amount of informal subjective text statements which are made available online for better understanding. Sentiment Analysis is the mindset, emotion for individual analytical research. It has become more important for the growth of the business, political issues, and for different customer. The data mining is the most common field of computer science for analysis of data. In this paper, various approaches have been described and also discussed the different principles and techniques that are used for sentiment analysis using a tool called Weka. This dataset is used to optimize classification of data using different types of the algorithm (Naïve Bayes, Support Vector Machine, Decision tree etc.) to findout the performance analysis of each algorithm to get best and accurate results.