Integrated Feedback Analysis And Moderation Platform Using Natural Language Processing

Feedback and review moderation has become a common practice by service providers and universities. Reviews and feedbacks have the unexplored potential that can affect an organization’s success as well as it’s functioning. Hotels especially realize the potential of reviews, they help them to improvise their customer service and improvise as a service provider, but what they lack is an integrated service that aims towards personal care of each and every client that would address and resolve their grievances on an individual scale. This model not only analyses the sentiment of feedbacks and reviews from users but also helps the administrators track grievances with the minutest details. This model will make review analysis and moderation comfortable for service providers like hotels and educational institutions and they could know the sentiment and also the actual problem or compliment of the review in one word without reading it and having a properly maintained database for the same. This model aims towards improvising the client experience with minimum cost and utmost care. This idea stands out different from other existing platforms in such a way that it can be used anywhere, offices, hotels, educational institutions, etc. and will definitely reduce the time and cost of customer/student review and help address the grievances quickly and efficiently.