Sentiment Analysis on Online Product Reviews

Today, people are exchanging their thoughts through online Web forums, blogs, and different social media platforms. Sometimes, they are giving reviews and opinions on different products, brand, and their services. Their reviews toward a product not only improve the product quality but also influence purchase decisions of the consumers. Thus, product review analysis is a widely accepted platform where consumer can easily aware of their requirements. In this experiment, we track 568,454 fine food reviews of 74,258 products and 256,059 users on Amazon over a period of ten years. To analyze the result, we select six most popular products and users based on the plain text review, and NRC emotion lexicon is used which can be categorized eight basic emotions and two sentiments. Word cloud also help our research to make comparisons between the eight emotion categories. Our results show that how sentiment analysis will help to identify the consumers’ behaviors and overcome those risks to meet the consumers’ satisfaction.