Deleted Journal, Год журнала: 2024, Номер 1(2), С. 70 - 85
Опубликована: Июнь 21, 2024
The automotive industry is one of the most significant global economic drivers. There has been a steady rise in both expectations and level competition. Thus, to attain better competitive advantage market, companies carefully analyze consumers’ opinions on social media platforms enhance business decisions. Existing studies have shown various analyses consumer opinion towards brands or products, particularly platform. Yet, limited explored sentiment analysis text reviews preferences car brands. This research aims investigate impact choices involving companies. In this study, dataset taken from total five brand models Kia, Hyundai, Toyota, Maruti Suzuki, Mahindra with three platforms, namely Twitter, Facebook, Instagram. Sentiment applied explore user’s about models. By utilization Natural Language Processing (NLP), evaluates emotional polarity status users. It showed that Hyundai achieved much higher positive score than other model. Further, it strong correlation between decisions platform where all attained correlations.
Язык: Английский