Sentiment Analysis of Self-Driving Cars Using Text Mining

Abstract: This study aims to predict future changes brought about by self-driving cars and find ways to respond to user experience (UX) through sentimental analysis of consumers' perceptions of self-driving cars. In particular, this study conducted sentiment analysis through monitoring and analysis of text information using user-generated content (UGC). Through this, the plan is to identify customer needs (Voice of Customers) and use it as a basis for future autonomous vehicle interior development.

Keywords: Autonomous vehicle, Driverless Car, Kansei Engineering, Self-driving car, Sentiment Analysis

DOI: 10.54941/ahfe1005136

Cite this paper:

​