Sentiment Analysis of Online Reviews for 5A-Level Tourist Attractions
This study aims to explore tourists’ sentiment tendencies and focal points by analyzing online reviews of 5A-level tourist attractions. After conducting data cleaning, word segmentation, stop-word filtering, and part-of-speech tagging, we preprocessed the review texts and utilized the ROSTCM6 softwa...
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Published in | Journal of Advanced Computational Intelligence and Intelligent Informatics Vol. 29; no. 2; pp. 417 - 422 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Tokyo
Fuji Technology Press Ltd
20.03.2025
富士技術出版株式会社 Fuji Technology Press Co. Ltd |
Subjects | |
Online Access | Get full text |
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