Volume 11, Number 17, October 2021

CarEnvision: A Data-Driven Machine Learning Framework for Automated Car Value Prediction

  Authors

TianGe (Terence) Chen¹, Angel Chang¹, Evan Gunnell², Yu Sun², ¹USA, ²California State Polytechnic University, USA

  Abstract

When people want to buy or sell a personal car, they struggle to know when the timing is best in order to buy their favorite vehicle for the best price or sell for the most profit. We have come up with a program that can predict each car’s future values based on experts’ opinions and reviews. Our program extracts reviews which undergo sentiment analysis to become our data in the form of positive and negative sentiment. The data is then collected and used to train the Machine Learning model, which will in turn predict the car’s retail price.

  Keywords

Machine Learning, Polynomial Regression, Artificial Neural Network.