Aspect-based Sentiment Analysis on Electric Motorcycles: Users’ Perspective

Muchamad Taufiq Anwar; Denny Rianditha Arief Permana; Ahmad Juniar; Anggy Eka Pratiwi

doi:10.26877/asset.v6i2.18129

Aspect-based Sentiment Analysis on Electric Motorcycles: Users’ Perspective

Muchamad Taufiq Anwar, Denny Rianditha Arief Permana, Ahmad Juniar, Anggy Eka Pratiwi

Abstract

Electric Vehicles (EVs) adoption is emerging especially electric motorcycles due to their lower price. Research has shown that the majority of people have positive sentiments towards EVs but most of the sentiments were from people who did not already own or use EVs, but rather from people who reacted / commented towards a product that is recently being launched/announced. This research aims to evaluate users’ opinions regarding the positive and negative aspects of electric motorcycles they had purchased / used. This information will be beneficial for the manufacturers and marketers as an evaluation for their products; and it is also beneficial for prospective buyers as a buying consideration. This research uses Aspect-Based Sentiment Analysis applied on 844 electric motorcycles review data from www.bikewale.com website. Results showed that the notable positive sentiments are related to smooth riding experience and low maintenance. Whereas notable negative sentiments are related to poor build quality and product malfunctions. The other aspects of electric motorcycles received mixed sentiments such as related to vehicle speed and customer service. The research findings, limitations, and future research direction are discussed.

Keywords

aspect-based sentiment analysis; electric vehicle; electric motorcycle; users’ perspective

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DOI: https://doi.org/10.26877/asset.v6i2.18129

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