The amount of unstructured text data available is growing exponentially due to the increase of digital information such as emails, text messages, blogs, social media posts, and product reviews. For users of e-commerce websites such as Flipkart, navigating thousands of reviews before buying a product can be a tedious task. Unsupervised machine learning techniques can be used to automatically analyse pre-processed data from these websites in order to provide consumers with an improved user experience before purchasing a product. In this work, we use K-Means clustering algorithm to form a cluster based on ratings and we apply classifier algorithm on it to classify the best reviews.
