Research on Big Data Analysis of Passenger-Oriented Railway Service Quality Based on LDA Model
- DOI
- 10.2991/978-94-6463-034-3_132How to use a DOI?
- Keywords
- Latent Dirichlet Allocation; railway service quality; sentiment analysis; data mining
- Abstract
Because of the lack of a reasonable evaluation and feedback system in China's railway transportation sector and the inability to make timely improvement according to the needs of passengers, this paper presents a passenger-oriented railway service quality big data analysis and research based on Latent Dirichlet Allocation (LDA) model. This method is of positive significance for railway departments to establish their evaluation and feedback system and opinion analysis. This paper excavates the needs of passengers in railway transportation and uses the Term Frequency-Inverse Document Frequency (TF-IDF) method to calculate text feature words and conducts semantic network analysis on them. Based on the above, the LDA topic model is used for modeling, and the best number of topics of comment data is determined by calculating the model confusion, and the LDA topic model is trained according to the best number of topics. Through the analysis of the model, the existing problems of railway traffic service based on the different demands of passengers are explored, and the emotional tendencies of current railway passengers are summarized based on the sentiment analysis algorithm.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Haohuan Yuan AU - Hao Ding AU - Pengcheng Lv PY - 2022 DA - 2022/12/23 TI - Research on Big Data Analysis of Passenger-Oriented Railway Service Quality Based on LDA Model BT - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022) PB - Atlantis Press SP - 1279 EP - 1293 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-034-3_132 DO - 10.2991/978-94-6463-034-3_132 ID - Yuan2022 ER -