Uncovering latent relationships among EV battery characteristics in EV battery products using topic modelling
This study explores the application of Topic Modeling using Latent Dirichlet Allocation in uncovering latent relationships in Electric Vehicle batteries. This research aims to provide valuable insights into the key characteristics, advancements, and challenges in the field. The methodology involves...
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2024
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sg-ntu-dr.10356-1762692024-05-17T15:44:58Z Uncovering latent relationships among EV battery characteristics in EV battery products using topic modelling Guerta, Uno Gabriel Yap Goh Wang Ling School of Electrical and Electronic Engineering Advanced Remanufacturing and Technology Centre EWLGOH@ntu.edu.sg Computer and Information Science Engineering This study explores the application of Topic Modeling using Latent Dirichlet Allocation in uncovering latent relationships in Electric Vehicle batteries. This research aims to provide valuable insights into the key characteristics, advancements, and challenges in the field. The methodology involves preprocessing the text data, training the LDA model, and analyzing the resulting topics. Key findings shed light on critical aspects such as battery chemistry, performance metrics, charging infrastructure, environmental impact, and future advancements. These insights contribute to a more comprehensive understanding of EV battery technology, aiding informed decision-making and fostering innovation and sustainability in the transportation sector. By leveraging Topic Modeling, this study contributes to a deeper understanding of EV battery technology, facilitating informed decision-making, innovation, and sustainability in the transportation sector. Bachelor's degree 2024-05-15T05:30:35Z 2024-05-15T05:30:35Z 2024 Final Year Project (FYP) Guerta, U. G. Y. (2024). Uncovering latent relationships among EV battery characteristics in EV battery products using topic modelling. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176269 https://hdl.handle.net/10356/176269 en B2292-231 application/pdf Nanyang Technological University |
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Computer and Information Science Engineering Guerta, Uno Gabriel Yap Uncovering latent relationships among EV battery characteristics in EV battery products using topic modelling |
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This study explores the application of Topic Modeling using Latent Dirichlet Allocation in uncovering latent relationships in Electric Vehicle batteries. This research aims to provide valuable insights into the key characteristics, advancements, and challenges in the field. The methodology involves preprocessing the text data, training the LDA model, and analyzing the resulting topics. Key findings shed light on critical aspects such as battery chemistry, performance metrics, charging infrastructure, environmental impact, and future advancements. These insights contribute to a more comprehensive understanding of EV battery technology, aiding informed decision-making and fostering innovation and sustainability in the transportation sector. By leveraging Topic Modeling, this study contributes to a deeper understanding of EV battery technology, facilitating informed decision-making, innovation, and sustainability in the transportation sector. |
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Goh Wang Ling |
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Goh Wang Ling Guerta, Uno Gabriel Yap |
format |
Final Year Project |
author |
Guerta, Uno Gabriel Yap |
author_sort |
Guerta, Uno Gabriel Yap |
title |
Uncovering latent relationships among EV battery characteristics in EV battery products using topic modelling |
title_short |
Uncovering latent relationships among EV battery characteristics in EV battery products using topic modelling |
title_full |
Uncovering latent relationships among EV battery characteristics in EV battery products using topic modelling |
title_fullStr |
Uncovering latent relationships among EV battery characteristics in EV battery products using topic modelling |
title_full_unstemmed |
Uncovering latent relationships among EV battery characteristics in EV battery products using topic modelling |
title_sort |
uncovering latent relationships among ev battery characteristics in ev battery products using topic modelling |
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Nanyang Technological University |
publishDate |
2024 |
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https://hdl.handle.net/10356/176269 |
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1814047399892484096 |