@inproceedings{18f16b416dac4e5087de095346ba1168,
title = "Analyzing the Online Reviews to Explore Recent Trends of the U.S. Automotive Industry by Latent Dirichlet Allocation Method",
abstract = "This study selects the U.S. automotive industry as the research subject to explore the recent trends in automotive development. Since the analysis was based on the content of reviews, a topic model for textual analysis is chosen as the methodology, with Latent Dirichlet Allocation (LDA) being the most representative topic model. A total of 7,492 online reviews of the U.S. automotive industry from the years 2020, 2021, and 2022 were collected. These data were then preprocessed to prepare them for input into the pre-set LDA model. The results of this study are as follows. In the market analysis, driving experience, comfort, interior, gas mileage, and other words for all years correlate with price/performance rankings in the U.S. automotive media. Based on the analysis of the 2020 Truck and SUV, the 2021 and 2022 SUV and Hybrid models, as well as the sales data of Tesla electric vehicles in 2022, a growing trend of Hybrid and pure electric vehicles could observe.",
keywords = "Automotive Industry Trends, Latent Dirichlet Allocation, Online Review, Text Mining",
author = "Liao, {Te Yu} and Kao, {Yu Chih} and Cheng, {Ming Shien} and Hsu, {Ping Yu}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 15th International Conference on Swarm Intelligence, ICSI 2024 ; Conference date: 23-08-2024 Through 26-08-2024",
year = "2024",
doi = "10.1007/978-981-97-7184-4_37",
language = "???core.languages.en_GB???",
isbn = "9789819771837",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "437--448",
editor = "Ying Tan and Yuhui Shi",
booktitle = "Advances in Swarm Intelligence - 15th International Conference on Swarm Intelligence, ICSI 2024, Proceedings",
}