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| 題 名 | 透過日文旅遊部落格的語言分析探討臺灣客家的觀光意象與旅遊體驗=Exploring the Tourism Image and Travel Experiences of Taiwanese Hakka through Linguistic Analysis of Japanese Travel Blogs |
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| 作 者 | 羅濟立; | 書刊名 | 東吳外語學報 |
| 卷 期 | 60 2026.03[民115.03] |
| 頁 次 | 頁109-143 |
| 分類號 | 312.835 |
| 關鍵詞 | 日文旅遊部落格; 臺灣客家; 觀光意象; 旅遊體驗; 網路爬蟲; 文本探勘; Japanese travel blogs; Taiwan Hakka; Tourism image; Travel experience; Web crawler; Text mining; |
| 語 文 | 中文(Chinese) |
| 中文摘要 | 本研究旨在探討日本遊客對臺灣客家地區之觀光意象與旅遊體驗,採用文字探勘與情感分析方法,分析日本旅遊部落格「4travel.jp」上243則與「台湾×客家」相關的日文評論,解析旅客的認知結構、情感傾向與體驗價值。結果顯示,日本遊客對客家文化的觀光意象主要聚焦於飲食體驗(如擂茶)、文化符號(如花布)、空間場域(如老街)與行程便利性等面向,整體情緒偏向正向,特別在飲食與文化氛圍方面評價甚高,惟亦有交通不便、資訊不足與語言障礙等負面體驗。據此,觀光行銷策略應強化文化傳達、動線設計與品牌整合,以提升日本市場對臺灣客家文化觀光之吸引力。本研究有助於理解旅客心態,亦為推動國際觀光、地方創生與永續文化發展提供實務參考與政策建議。 |
| 英文摘要 | This study aims to explore the tourism image and travel experiences of Japanese visitors to Hakka regions in Taiwan. Utilizing text mining and sentiment analysis methods, it analyzes 243 Japanese-language travel blog entries related to "Taiwan × Hakka" on the website 4travel.jp to examine tourists' cognitive structures, emotional tendencies, and perceived experiential value. The results show that Japanese tourists' perceptions of Hakka cultural tourism primarily focus on culinary experiences (such as lei cha), cultural symbols (such as floral fabrics), spatial settings (such as old streets), and travel convenience. Overall sentiment tends to be positive, particularly in terms of food and cultural atmosphere, though some negative experiences-such as inconvenient transportation, lack of information, and language barriers-were also noted. Accordingly, tourism marketing strategies should enhance cultural communication, visitor flow design, and brand integration to increase the appeal of Taiwanese Hakka cultural tourism in the Japanese market. This research contributes to a better understanding of tourist psychology and provides practical insights and policy recommendations for advancing international tourism, local revitalization, and sustainable cultural development. |
本系統中英文摘要資訊取自各篇刊載內容。