Sentiment Analysis of reviews from e-commerce...

Sentiment Analysis of reviews from e-commerce websites using Machine Learning Techniques

Author Name : Jitendra Soni, Nitin Bagdi

The way consumers shop for apparel and fashion products has been revolutionized by the e-commerce sector's impressive expansion in recent years. As a result, there are a ton of product reviews available on the internet, offering useful information about the tastes and experiences of online buyers. These reviews, which are frequently full of emotion and opinion, provide information that may be used for a variety of tasks, such as market research or enhancing customer experiences. E-commerce has completely changed how we purchase in the current digital era by providing a huge selection of goods and services at the touch of a button. As a result, millions of customers visit e-commerce websites daily to make purchases, generating a vast amount of data that is ready for analysis. Sentiment analysis, a branch of natural language processing (NLP), is essential for determining the attitudes, viewpoints, and responses of customers on these online forums. E-commerce companies may improve customer experiences, hone marketing techniques, and ultimately increase sales by understanding consumer sentiment.