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ISSN Number:
2582-8568


Journal DOI No:
03.2021-11278686

Title:
A STUDY ON SENTIMENT ANALYSIS OF THE TWO-WHEELER ELECTRIC VEHICLE USERS IN INDIA

Authors:
Sakshi Chaturvedi , Kalyani Gorti

Cite this Article:
Sakshi Chaturvedi , Kalyani Gorti ,
A STUDY ON SENTIMENT ANALYSIS OF THE TWO-WHEELER ELECTRIC VEHICLE USERS IN INDIA,
International Research Journal of Humanities and Interdisciplinary Studies (www.irjhis.com), ISSN : 2582-8568, Volume: 4, Issue: 3, Year: March 2023, Page No : 48-60,
Available at : http://irjhis.com/paper/IRJHIS2303006.pdf

Abstract:

In India, where traffic congestion and air pollution are serious problems, two-wheeler electric vehicles have emerged as a promising means of transportation. They provide an economical and environmentally beneficial alternative to traditional two-wheelers that use fossil fuels. Due to this, the market for electric two-wheelers has been expanding significantly in recent years. On the traits and habits of two-wheeler electric vehicle users in India, there is, however, little research. Manufacturers must comprehend this group's needs and preferences in order to design and promote their products successfully. The development of laws to encourage the use of electric vehicles and address the issues with infrastructure and charging stations can both be aided by such insights for policymakers. This study aims to examine customer attitudes towards electric vehicles in India in order to gain useful insight into the factors that influence the country's adoption of EVs. The goal of the study is to get a wide range of opinions and perspectives from a large number of Indian drivers by using data from popular automobile websites on Google. Because two-wheelers are a common mode of transportation in India and, as a result, have a significant impact on the adoption of EVs as a whole, the study focuses specifically on their use. The study includes companies like Ola Electric, Benling, Ather, TVS iCube, Revolt, Bajaj Chetak, Hero Electric, Okinawa, Okaya, and Ampere, giving a complete picture of the current players in the Indian electric vehicle market. The results of the study show that Support Vector Machine is the best machine learning method recommended in this study, with an accuracy level of 84%. It has been determined through sentiment analysis that two-wheeler electric vehicle customers in India have a generally positive attitude towards these vehicles.



Keywords:

Sentiment Analysis, Two-wheeler electric vehicles, Support Vector Machine, Naïve Bayes



Publication Details:
Published Paper ID: IRJHIS2303006
Registration ID: 20976
Published In: Volume: 4, Issue: 3, Year: March 2023
Page No: 48-60
ISSN Number: 2582-8568

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ISSN Number

ISSN 2582-8568

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5.71 (2021)

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03.2021-11278686