Developing a profile of medium- and heavy-duty electric vehicle fleet adopters with text mining and machine learning

Ouren, Fletcher  Thomas; Trinko, David; Coburn, Timothy C.; Simske, Steven J.; Bradley, Thomas H.

doi:10.1016/j.ref.2023.07.004

Cited by 2 publications

(2 citation statements)

References 28 publications

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“…As electric vehicles seamlessly replace conventional fuel-powered counterparts, the tangible decrease in air pollution and greenhouse gas emissions becomes a linchpin in fortifying environmental protection efforts. This shift not only aligns with the imperatives of responsible resource utilization but also underscores a conscientious commitment to the overall well-being of society [15].…”

Section: The Impact Of Electric Vehicle Adoption On the Environmentmentioning

confidence: 72%

Sentiment Unleashed: Electric Vehicle Incentives Under the Lens of Support Vector Machine and TF-IDF Analysis

2024

J. Appl. Data Sci.

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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, with approximately 57.3% of comments expressing negative sentiment, 33.2% positive, and the rest neutral. This study makes a unique contribution to the existing literature by shedding light on the nuanced perspectives of the public, revealing strong support for incentives from a financial standpoint, coupled with notable concerns about electric vehicle prices and charging infrastructure availability. External factors such as government policies and vehicle prices significantly influence public sentiment, and easy access to charging infrastructure plays a crucial role in shaping positive sentiment. Furthermore, the study emphasizes the positive influence of environmental concerns on public support for electric vehicle incentives. The results provide valuable insights into public sentiment, contributing to a better understanding of the factors influencing it, and offer practical policy recommendations for the design and implementation of effective electric vehicle incentives to foster sustainable and environmentally friendly transportation.

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Section: The Impact Of Electric Vehicle Adoption On the Environmentmentioning

confidence: 72%

Sentiment Unleashed: Electric Vehicle Incentives Under the Lens of Support Vector Machine and TF-IDF Analysis

2024

J. Appl. Data Sci.

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“…He can uncover potentials that I am not aware of" (Anisa, Teacher at SDN 3 Boyolangu Banyuwangi) (kspstendik.kemdikbud.go.id). Supervision serves as professional assistance and guidance for teachers in carrying out instructional tasks to improve teaching and learning by providing continuous stimulation, coordination, and guidance to enhance teachers' individual and group professional growth (Ouren et al, 2023). Meanwhile, according to Hopkins and Moore (1993) , artistic supervision is "...the artistic supervision model is a holistic approach to supervision that relies on sensitivity, perceptivity, and knowledge of the supervisor as a way of appreciating the significant subtleties occurring in the classroom".…”

Section: Introductionmentioning

confidence: 99%

Improving Teacher Performance: An Overview of Supervisory Behavior in Artistic Supervision

Marno,

Ghoffar,

Fitriah

2024

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The phenomenon of conflict resistance between teachers and educational supervisors has been increasingly prevalent lately, manifesting as feelings of low self-confidence and apprehension among teachers when a supervisor or school monitor is about to conduct supervision. The relationship between teachers and educational supervisors should ideally be harmonious in the pursuit of national educational goals. This research seeks to explore the urgency, steps, and implementation models of artistic supervision in efforts to enhance teacher performance. Research data were gathered through observations of academic supervision activities, interviews with supervisors and teachers, document analyses on educational supervision, and the mechanism of implementing educational supervision using an artistic approach. The research findings indicate that the implementation of artistic supervision is a crucial approach in improving teacher performance, alongside the necessary steps and models of artistic supervision implementation. The study concludes that the urgency of artistic supervision must be recognized to break the hereditary culture of teachers' misconceptions about supervisors and the inaccuracies in the supervisors' approach. Awareness of this needs to be continually cultivated by each party, fostering positive reinforcement and a humanistic educational supervision model between the supervisor and supervisee.

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Developing a profile of medium- and heavy-duty electric vehicle fleet adopters with text mining and machine learning

Cited by 2 publications

References 28 publications

Sentiment Unleashed: Electric Vehicle Incentives Under the Lens of Support Vector Machine and TF-IDF Analysis

Sentiment Unleashed: Electric Vehicle Incentives Under the Lens of Support Vector Machine and TF-IDF Analysis

Improving Teacher Performance: An Overview of Supervisory Behavior in Artistic Supervision

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