2023
DOI: 10.1155/2023/5667360
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An Approach for Discovering Urban Transport Service Problem Based on Hotline

Ruo-yu Wu,
Chun-fu Shao,
Cheng-xiang Zhuge
et al.

Abstract: This paper presents a methodology for actively discovering knowledge in transport hotline databases by analyzing complaints reported by citizens, aiming to assist transportation management departments in planning actions to investigate and improve service quality. The proposed model uses text mining techniques and applies latent Dirichlet allocation (LDA) to identify topics that are related to transportation services. Consequently, we actively analyzed over 230,000 phone calls occurring in a certain province b… Show more

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