Sentiment analysis of electronic product tweets using big data framework

Abstract

Nowadays, social media has become more popular due to the advancement of Internet technologies and smartphone devices. Such platforms have generated interest among users to give their opinion. 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 choices. In the current scenario, millions of tweets are generated by 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, is used to handle such kind of large data. In this paper, different sale 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 business decisions, which will further enhance the product sales.