Snapdeal is building India's most reliable and frictionless commerce ecosystem. It currently operates across more than 6000 cities and partners with 300000 sellers for selling 60 million + products. The data Science team at Snapdeal is taking on the ambitious project of building a platform that empowers the future generation of creators to be successful online.
When you go to purchase an item online - what is the first thing that you do? Check out product ratings and reviews! Reviews are all the more important for the category of womenswear as they provide customers vital information about quality and fit that a customer couldn't have ascertained from pictures alone. Womenswear holds as large as 50% of e-commerce market share and its volume is only growing every year. The e-commerce website that can deliver the highest value for money to their customers womenswear would definitely have an edge in this industry that's brimming with both multi-national and hyperlocal competition.
In this menternship, you will be challenged to build a natural language processing model using Sentiment Analysis in R to identify the pain points of customers purchasing goods within the womenswear category. You will work with a dataset of product reviews from an e-commerce website.