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| 題 名 | 意見探勘分析應用於旅遊者的旅遊地意象與空間行為評估:以野柳地質公園為例=Application of Opinion Mining Analysis in Evaluating Destination Image and Spatial Behavior: A Case Study of Yehliu Geopark |
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| 作 者 | 劉瓊嬬; 林孟龍; | 書刊名 | 真理觀光學報 |
| 卷 期 | 20 2024.12[民113.12] |
| 頁 次 | 頁1-17 |
| 分類號 | 992.3 |
| 關鍵詞 | 旅遊者; 意見探勘; 旅遊地意象; 空間行為; 野柳地質公園; Tourist; Opinion mining; Spatial behavior; Yehliu Geopark; |
| 語 文 | 中文(Chinese) |
| DOI | 10.6438/TOJT.202412_(20).0001 |
| 中文摘要 | 近年於資通訊科技環境成熟之下,連帶影響旅遊者的旅遊行為,例如:開始出現旅遊者於景點打卡(Check-In)的行為、在社群網絡上發表旅遊評論等,皆已成為常見的旅遊行為。本研究試圖透過網路社群平台,蒐集與野柳地質公園有關的旅遊者文字評論資料,並採用意見探勘分析,嘗試探討旅遊者對野柳地質公園的旅遊地意象與空間行為特性。本研究以TripAdvisor、Ctrip平台上的旅遊者評論內容為分析對象,經文本探勘程序後,進行詞頻分析。經研究後發現,旅遊者的旅遊地意象以正面詞彙較多;在旅遊者空間行為特性,可劃分為「在地尺度(Local Scale)」、「旅遊地尺度(Destination Scale)」、「區域尺度(Regional Scale)」等三類種類型的空間尺度,用以呈現旅遊者於野柳地質公園內部與外部的空間行為特性。綜合上述,本研究期望能藉探索旅遊者的旅遊地意象與空間行為特性,有助於挖掘旅遊者的潛在旅遊需求,對未來提昇旅遊地的經營管理有所幫助。 |
| 英文摘要 | In recent years, the maturation of information and communication technology (ICT) has significantly influenced tourist behavior. For instance, practices such as location-based check-ins at attractions and sharing travel reviews on social media platforms have become common among tourists. This study aims to collect textual reviews related to Yehliu Geopark from online social platforms and apply opinion mining analysis to explore tourists' perceptions of the destination image and their spatial behavior. Specifically, travel reviews from TripAdvisor and Ctrip are analyzed using text mining techniques, with a focus on term frequency analysis. The findings reveal that tourists predominantly use positive descriptors when forming their destination image of Yehliu Geopark. Additionally, their spatial behavior can be categorized into three spatial scales: Local Scale, Destination Scale, and Regional Scale, reflecting movement patterns both within and beyond the Geopark. By examining tourists' perceptions and spatial behavior, this study seeks to uncover potential travel demands, providing valuable insights for enhancing destination management and tourism development. |
本系統中英文摘要資訊取自各篇刊載內容。