A Study on Analysis of Articles in Japan Travel Discussion Board of Bulletin Board System with Text Mining Techniques
| Autor: | KUO CHIA-HAO, 郭家豪 |
|---|---|
| Rok vydání: | 2019 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 107 Now, most people of Taiwan have the experience of traveling abroad, and many of them will record their experiences of tourist attractions or delicious food and share them on blogs or BBS for people to read. This study collected articles from the “Japan_Travel” forum in PTT Bulletin Board System (BBS) and analyzed what topics people often care about when traveling to Japan or what special sightseeing spots they often visit through text mining technology. This study used R language to write data mining program, and automatically captured the articles of PTT Japan travel forum. After collecting a total of 7001 articles from 2017 to 2018, we conducted Chinese word segmentation through text mining. Then, we draw a word cloud to explore the words commonly used by PTT BBS users and used the TF-IDF and LDA Gibbs method to sort out 10 topics. We also analyzed the relevance of the keywords in these topics. In the end, we found that PTT BBS users often discuss the transportation planning and scheduling of Japanese tourism. In the future, this study may provide the tourism industry to understand the tourism needs of Taiwanese and increase business opportunities. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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