REAL TIME SENTIMENT ANALYSIS OF E-COMMERCE WEBSITES USING MACHINE LEARNING ALGORITHMS

With the advent of social media, sentiment analysis an evolving area finds application in all domains. Significant applications of sentiment analysis include retail, movie rating, politics, healthcare, and automobile industry. Sentiment analysis can be implemented in various methods like machine learning methods, syntactic patterns, lexicon based method. Finding the sentiment of e-commerce websites is very important for online customers to buy quality products and timely delivery of their goods and services. This paper compares the e-commerce websites in terms of quality and timely delivery. Sentiment is calculated based on the live tweets generated by twitter on these websites using streaming API.