Sales Prediction using Online Sentiment with Regression Model

Abstract

The main aim of this paper is to predict the sales of a vehicle using sentiment analysis from various places on the internet. The online presence of a vehicle, as well as its brand, plays a key role in the sales of the vehicle. However, many other parameters are required and will be discussed in this paper. Sales prediction in today's market is not only beneficial for the manufacturer but also for the various other companies that manufacture parts or accessories for vehicles. It can also be considered as a boon for retailers, showroom owners, and service mechanics. In this application, we have made use of linear regression for sentiment analysis and polynomial regression for sales prediction.