Sentiment Analysis Of Amazon Fine Food Reviews
Sruthi Yarkareddy, T. Sasikala, S. T. Santhanalakshmi
Abstract
The modernized world with recent inventions in technology seen nowadays has become more digitized. By making the products available online, e-commerce is taking advantage of this digitized world by making the customers get whatever they want without stepping out. The importance of the online review has become higher these days because the number of people depending on e-commerce websites for purchasing things have increased. As people believe in other opinions, going through lots of reviews before buying a product has become a common thing. For a better understanding of the product, in this busy world people don't have time to go through lots of, so, there is a need for developing a model which can polarize those reviews and generate an appropriate result. With the advancement in the area of machine learning and different technology, this task has become much more comfortable. For this project, machine learning algorithms are used on amazon fine food reviews dataset to analyze if the given review is a positive review or a negative review.