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Journal : Journal of Applied Data Sciences

Sentiment Unleashed: Electric Vehicle Incentives Under the Lens of Support Vector Machine and TF-IDF Analysis Batmetan, Johan Reimon; Hariguna, Taqwa
Journal of Applied Data Sciences Vol 5, No 1: JANUARY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i1.162

Abstract

This research examines public sentiment regarding electric vehicle incentives through sentiment analysis of online comments. These incentives include tax deductions and other financial rewards offered to promote the adoption of electric vehicles. In this study, the researchers collected and analyzed over 1,000 comments from various online platforms to understand the public's perspective on these incentives. The study employs Support Vector Machine (SVM), a powerful machine learning algorithm, as the main method and utilizes Term Frequency-Inverse Document Frequency (TF-IDF) to analyze comment texts. The research findings depict significant variation in public sentiment regarding electric vehicle incentives. Approximately 57.3% of comments express negative sentiment towards these incentives, while 33.2% are positive, and the rest are neutral. There is strong support for these incentives, particularly from a financial standpoint. However, some dissatisfaction is expressed, especially regarding electric vehicle prices and charging infrastructure availability. External factors such as government policies and vehicle prices significantly influence public sentiment. Easy access to charging infrastructure also plays a crucial role in shaping positive sentiment. Environmental issues also contribute to a positive view of electric vehicle incentives. Policy recommendations arising from this research emphasize the need to consider these factors when designing and implementing electric vehicle incentives. Improvement efforts in pricing, infrastructure, and environmental education can help enhance electric vehicle adoption in society. This research provides valuable insights into public sentiment towards electric vehicle incentives and the factors influencing such sentiment. The results can serve as a foundation for better decision-making to support the development of sustainable and environmentally friendly electric vehicles.   
Co-Authors Abinarti Paende Albertin Parupang Alfandy Parera Alfrina Mewengkang Anthoni R. Pulakiang Arauna Rangan Pabara Arje Cerullo Djamen Armstrong F. Sompotan Ayu Monika Br Surbakti Chelyca Vira Mita Kaliu Chensui Natania Sage Christine Takarina Meitty Manoppo Daniel Riano Kaparang Debie Kalalo Deitje Adolfien Katuuk Desyemca Florenda Indra Muda Dina Demhi Elni Usoh Feliks Stefanus Raube Fradel R. Sigar, Verry R. Palilingan, Mario T. Parinsi Gilly Marlya Tiwow Gloria Inviniti Milania Lolowang Graldo Sarempa Grasela Wowor Harke Mosey Henny N. Tambingon Herman Koessoy Hiskia Kamang Manggopa Idjie, Elyis Y. C Jaime Da Costa Lobo Suares Jeffry Sony Junus Lengkong Jimmy Waworuntu Joulanda A. M. Rawis Julita Mamonto Kambey, Joseph Kebri Kein Mopudy Pajung Kembuan, Eddy D.R.E Kumampung, Deislie R. Henrieta Liando, Olivia Eunike Selvie Lihart Lumapow Makalunsenge, Sri Wahyu Widiati Mamonto, Julita Veronica Mamuaja, Marlin Penina Mariana Rengkuan Marshel R. Kapahang Mei Litha Saleppa Metsi Daud1 Muhammad Nur Muyu, Ronaldo Natasya Misnawati Sikki Natasya Sikki Nayoan, Leyri Olivia Eunike Selvie Liando Orbanus Naharia Palilingan, Verry Ronny parabelem tinno dolf rompas Parupang, Albertin Peggy Veronica Toga Peggy Veronica Togas Rima Lolong Rotty, Viktory Nicodemus Joufree Ruma, Satin La Rumagit, Selvie Serly Runtuwene, Marcelino M. A Shelty D. M. Sumual Sondy C. Kumajas Songgigilan, Ridho Junior Sumampouw, Merry M. Sumual, Tinneke E. M. Susan Jacobus Suyoto Suyoto Taqwa Hariguna Tarandung, Iszach R P Tentero, Jenifer Yunisha Trudi Komansilan Tulungen, Franky Reintje Turang, Omega S.M. Untu, Avandi E. Veo Rani Sania Br Bangun Verry Ronny Palilingan Wasti Wasti Watung, Hensy Wensi Ronald Lesli Paat Wiranatha, I Made Nomo Yusuf, Yusnia Zalukhu, Grace Natalia