Abstract
Every day over 2.5 quintillion data is generated using various channels like online surveys, transactional data tracking, social media monitoring, etc. Out of these majority of the data is generated using social media platforms. This raw data contains information that can be used for industrial, economic, social and business purposes. To facilitate this, sentiment analysis has become a prospect for various tech-based industry giants to review and analyze their products. Hadoop has been established as one of the best tools for storing, processing, and streaming data in the market. In this paper, we present a generic approach to performing sentiment analysis using Apache PIG which classifies the given data taken from a dataset to either positive or negative to get the people’s sentiment over an object or an issue.
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