Feasibility and Sentiment Analysis of Deploying App-based Transportation System for Rickshaw

Abstract

In recent years it is noticeable that App Based Transportation System like Ride Sharing (uber or patho) has become popular day by day. So I have thought different way. For our daily life, Rickshaw is most important for short distance. If we add this vehicle in our ride sharing system, it will very much helpful for us specifically for rainy days. In Rainy Day most of the time in our city, other vehicle like CNG, Car, and Bike and so on become unused because roads go under water. It will be good system to find a Rickshaw for those day. So I collect data from Student, Teacher, Businessman, Job holder and so on. For this purpose I have took the Feasibility Analysis. This analysis is a process of a selected project to regulate whether it is possible and should go forward. By feasibility analysis, we have able to predict this project how much run to start before and will it good or bad? A feasibility analysis is used to regulate the validity of an idea like ensuring a project is legally and technically feasible and economically justifiable [3]. By using this process I have come to know that this work worth in the investment and may be doable. I am also able to publish the position of people opinion by counting that how many reviews are Good, Bad, and Average comparative to with each. As all collected data is based on text document, it has been very perfect work in all terms and condition for Sentiment Analysis.