A MACHINE LEARNING MODEL TO CLASSIFY INDIAN TAXI SYSTEM IN TOURISM INDUSTRY

Abstract

India is emerging as a top destination for tourism, with taxi services playing a crucial role in supporting
this growth and urban transportation. Recognizing the significance of taxi services, we conducted a sentiment
analysis of customer reviews from various taxi service providers in India. This study focused exclusively on reviews
from Indian online platforms. We employed machine learning techniques to analyze the sentiment of these taxi
reviews, providing insights into customer sentiments and the quality of taxi services and amenities. Our research
compared multiple machine learning algorithms using the dataset. Among them, Support Vector Machine (SVM)
emerged as the top performer, surpassing other algorithms in terms of accuracy, F1 score, and recall, achieving
rates of 89%, 82%, and 86%, respectively. This study contributes to understanding customer perceptions through
sentiment analysis of taxi reviews, enhancing decision-making in the taxi service industry.