Consumer Grievance Handler

Abstract

Myriad of consumer complaints has subjected to the difficulty in classifying consumer's grievances. Grievances usually comprises of lengthy texts which takes lots of manpower and time. Complaints can be filed into wrong categories. Difficulty in going through every sole grievance and directing them to relevant departments is to be dealt. To solve these issues, we have an idea of using machine learning algorithms to learn and classify the complaints into their respective categories and perform sentimental analysis on the customer complaints to obtain the priority of each complaint. Python FLASK API is used to enable application interaction. The user should enter the consumer complaint in the application, and the sentimental analysis and categorization of consumer complaints is done and the accuracy of the complaint classified is displayed.