Review-driven recommendation
Presenting by Madhan Kumar Selvaraj After a ver y long time, I am blogging about new project named Review-driven recommendation. In this Artificial Intelligence (AI) era, data is a called as new gold. Now it's very common to buy any products and choosing a restaurant to eat we are checking the other user reviews. Once we are satisfied with their review we'll choose that particular product. Real-world issue Let's assume we are planning to buy an ABC brand model mobile . But the product review is available at many platforms like Google reviews, MouthShut, yelp and lot more. We need to check all the reviews from the users and from different platforms to get most of it. It'll take more time and effort. To fix this issue, we are extracting user reviews from all the platforms and using some NLP models to get the top best products list with some visualization. Project roadmap The workflow of the project Scraping user reviews from the multiple platforms Extracted data a