Research Article
Analysis of Tourism Review Information Based on Data Mining Technology
@INPROCEEDINGS{10.4108/eai.26-5-2023.2334275, author={Fengyu Bi}, title={Analysis of Tourism Review Information Based on Data Mining Technology}, proceedings={Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26--28, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={MSEA}, year={2023}, month={7}, keywords={data mining lda model big data analysis travel review}, doi={10.4108/eai.26-5-2023.2334275} }- Fengyu Bi
Year: 2023
Analysis of Tourism Review Information Based on Data Mining Technology
MSEA
EAI
DOI: 10.4108/eai.26-5-2023.2334275
Abstract
In recent years, with the rapid development of data mining technology, it has gradually begun to analyze and apply complex data in various fields. Tourism industry is one of the industries with the broadest application prospect of data mining technology. It can excavate and analyze tourist preference and provide marketing decision basis for tourism management department. This paper takes the online tourism review data of 5A scenic spots in Zhejiang Province as the research object to conduct in-depth text mining and analysis. First, the python program is used to capture relevant online review texts on the Ctrip, and the tourism review data set is constructed. By extracting high-frequency words, the preliminary mining and analysis are carried out. Secondly, the supervised learning algorithm based on machine learning is used for further emotion classification and quantification. Then, the LDA topic model and visualization method are used to extract the subject words of the text data, and the subject classification is carried out. Finally, reasonable suggestions are put forward according to the experimental results.
