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論文タイトル：Extraction method of access-related information from reviews of tourist attractions
著者：Yuki Shioda and Yoko Nishihara
概要：In this study, we propose a method for efficiently extracting empirical information about walking routes from the nearest transportation stop to tourist attractions from traveler reviews posted on social media. First, the collected review data is fed to the proposed method. Subsequently, partial reviews that contain access-related information are extracted. To group similar partial reviews, the proposed method vectorizes the partial reviews and performs clustering. Representative sentences are extracted from the clusters and provided to the user as access-related information on tourist attractions. We experimented to evaluate the proposed method. We applied the proposed method to five tourist attractions. The experimental results showed that the proposed method could extract the access related information with a certain degree of accuracy.
書誌情報：The 30th International Conference on Technologies and Applications of Artificial Intelligence, pp.??-??
発表日：2025年12月13日