Nowadays social media has become more popular due to the advancement of internet technologies as well as smartphone devices. It is also the easiest way to transfer information and communicate with people. The social media has generated interest among internet user to give their opinion about different topics. Social media like Twitter also plays an important role for business companies; based on customer opinion about any product, business companies came to know more about customer choice. In the current scenario, millions of tweets are generated by the people every year. But handling these huge unstructured tweets is not possible through the traditional platform. Therefore, big data framework such as Hadoop and spark are used to handle such kind of large data. In this paper, different sales tweets are used to analyze the sentiments of customers regarding electronic products. The experimental results of the proposed work will be useful for various business companies to take a business decision which will further enhance the product sales.
Key words: Twitter, Spark, Big Data, Sentiment Analysis
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