The aim of this thesis is to apply the text mining and clustering algorithms on the product reviews to automatic extract the strengths and defects of the product on the basis of customer experiences. Analyzing the reviews on a product helps to improve the quality of the product or service. That way, reviews from online shopping sites (such as Amazon) not only help a consumer to buy a product but also can help a manufacturer or seller to know the pros and cons of their product. Amazon star ratings alone are not enough for this. One should go through the text reviews to know specifically which feature of the product is lacking customer satisfaction.