系統識別號 U0026-1508201714121300
論文名稱(中文) 運用文字探勘於旅遊部落格意見領袖辨識方法
論文名稱(英文) Identify Opinion Leader in Travel Blogs by Using Text mining.
校院名稱 成功大學
系所名稱(中) 資訊管理研究所
系所名稱(英) Institute of Information Management
學年度 105
學期 2
出版年 106
研究生(中文) 朱峻宏
研究生(英文) Chun-Hung Chu
學號 R76041126
學位類別 碩士
語文別 中文
論文頁數 58頁
口試委員 口試委員-劉任修
中文關鍵字 文字探勘  意見領袖  情感分析  趨勢分析  大眾分類法 
英文關鍵字 Text Mining  Opinion Leader  Sentiment Analysis  Trend Analysis  Folksonomy 
中文摘要 近年來旅遊已經成為許多人生活中不可或缺的一部分,隨著Web2.0的盛行使用者可以透過部落格發表旅遊相關經驗,然而大量使用者於網上分享內容導致資訊過載的時代來臨,因此讀者傾向於觀看某些自己有興趣的部落客之文章,在特定領域中的熱門部落客即所謂意見領袖,相較於其他評論者通常具有較高的互動性,在社群平台具有不可忽視的影響力。
英文摘要 Tourism has become an indispensable part of life. There are many online travel related blog articles. Due to massive information, online readers tend to watch their favorite bloggers articles. Popular bloggers are called opinion leaders. Compared to other commentators, opinion leader has high interaction. Their influence could not be ignored.
Popular bloggers are often ranked by popularity, and it does not fully reflect the usefulness of the article. This study analyzes the sentiment and trend of the articles of the bloggers and establishes the influence network by the subscribing relationship. Combining the features above, the opinion leaders ranking will be more in line with expectations. In the field of tourism, adopting location to be topic can be more close to the needs of users. Through the use of blogger defined tag to analyze their expertise, the ranking results can be presented by topic.
Through this study, users can choose target bloggers based on opinion leader ranking results which presented by topic. They could browse these bloggers’ articles to make decision more efficient. The experimental results show that using social influence score to identify opinion leader could get the best result compared with other scores. Finally, this study identified opinion leader by combining all scores in to one. The ranking results could perform better than using social influence score.
論文目次 第1章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 5
1.3 研究範圍與限制 6
1.4 研究流程 6
1.5 論文大綱 7
第2章 文獻探討 8
2.1 部落格 8
2.2 意見領袖 9
2.3 情感分析 11
2.4 鏈結分析 12
2.5 Google Trends 14
2.6 TripAdvisor 15
2.7 廣義知網 16
2.8 大眾分類法 17
2.9 小結 19
第3章 研究方法 20
3.1 研究架構 20
3.2 資料前處理模組 21
3.3 標籤分群模組 23
3.4 社群影響力模組 27
3.5 內文分析模組 28
3.5.1 情感分析 29
3.5.2 趨勢分析 30
3.6 意見領袖辨識模組 32
3.7 小結 35
第4章 系統建置與驗證 36
4.1 系統環境建置 36
4.2 實驗方法 37
4.2.1 資料來源 38
4.2.2 評估指標 39
4.3 參數設定 40
4.4 實驗結果 43
4.4.1 實驗一 43
4.4.2 實驗二 44
4.4.3 實驗三 46
4.4.4 實驗四 48
4.4.5 實驗五 50
第5章 結論與未來方向 52
5.1 研究成果 52
5.2 未來研究方向 54
參考文獻 55
參考文獻 Alexa. (2016). Retrieved Nov. 15, 2016, from http://www.alexa.com/topsites/countries/TW
Baek, H., Ahn, J., & Choi, Y. (2012). Helpfulness of online consumer reviews: Readers' objectives and review cues. International Journal of Electronic Commerce, 17(2), 99-126.
Brin, S., & Page, L. (1998). The Anatomy of a Large-Scale Hypertextual Web Search Engine. Paper presented at the Seventh International World-Wide Web Conference (WWW 1998), Brisbane, Australia.
Bucur, C. (2015). Using Opinion Mining Techniques in Tourism. Procedia Economics and Finance, 23, 1666-1673.
Cai, Y., Chen, W.-H., Leung, H.-F., Li, Q., Xie, H., Lau, R. Y. K., . . . Wang, F. L. (2016). Context-aware ontologies generation with basic level concepts from collaborative tags. Neurocomputing, 208, 25-38.
Cho, Y., Hwang, J., & Lee, D. (2012). Identification of effective opinion leaders in the diffusion of technological innovation: A social network approach. Technological Forecasting and Social Change, 79(1), 97-106.
Fang, B., Ye, Q., Kucukusta, D., & Law, R. (2016). Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics. Tourism Management, 52, 498-506.
Krestel, R., & Fankhauser, P. (2012). Personalized topic-based tag recommendation. Neurocomputing, 76(1), 61-70.
Ku, L.-W., & Chen, H.-H. (2007). Mining opinions from the Web: Beyond relevance retrieval. Journal of American Society for Information Science and Technology, 58(12), 1838-1850.
Lee, H. A., Law, R., & Murphy, J. (2011). Helpful reviewers in TripAdvisor, an online travel community. Journal of Travel & Tourism Marketing, 28(7), 675-688.
Li, F., & Du, T. C. (2011). Who is talking? An ontology-based opinion leader identification framework for word-of-mouth marketing in online social blogs. Decision Support Systems, 51(1), 190-197.
Li, Y.-M., Lai, C.-Y., & Chen, C.-W. (2011). Discovering influencers for marketing in the blogosphere. Information Sciences, 181(23), 5143-5157.
Li, Y.-M., Lin, C.-H., & Lai, C.-Y. (2010). Identifying influential reviewers for word-of-mouth marketing. Electronic Commerce Research and Applications, 9(4), 294-304.
Li, Y., Bandar, Z. A., & McLean, D. (2003). An approach for measuring semantic similarity between words using multiple information sources. IEEE Transactions on knowledge and data engineering, 15(4), 871-882.
Li, Y., Ma, S., Zhang, Y., Huang, R., & Kinshuk. (2013). An improved mix framework for opinion leader identification in online learning communities. Knowledge-Based Systems, 43, 43-51.
Liang, T.-P., Yang, Y.-F., Chen, D.-N., & Ku, Y.-C. (2008). A semantic-expansion approach to personalized knowledge recommendation. Decision Support Systems, 45(3), 401-412.
Liu, C.-L., Hsaio, W.-H., Lee, C.-H., & Chen, C.-H. (2013). Clustering tagged documents with labeled and unlabeled documents. Information Processing & Management, 49(3), 596-606.
Liu, D.-R., Omar, H., Liou, C.-H., Chi, H.-C., & Hsu, C.-H. (2015). Recommending blog articles based on popular event trend analysis. Information Sciences, 305, 302-319.
Liu, D.-R., Tsai, P.-Y., & Chiu, P.-H. (2011). Personalized recommendation of popular blog articles for mobile applications. Information Sciences, 181(9), 1552-1572.
Liu, S., Jiang, C., Lin, Z., Ding, Y., Duan, R., & Xu, Z. (2015). Identifying effective influencers based on trust for electronic word-of-mouth marketing: A domain-aware approach. Information Sciences, 306, 34-52.
Oliva, J., Serrano, J. I., del Castillo, M. D., & Iglesias, Á. (2011). SyMSS: A syntax-based measure for short-text semantic similarity. Data & Knowledge Engineering, 70(4), 390-405.
Rada, R., Mili, H., Bicknell, E., & Blettner, M. (1989). Development and application of a metric on semantic nets. IEEE transactions on systems, man, and cybernetics, 19(1), 17-30.
Ravi, K., & Ravi, V. (2015). A survey on opinion mining and sentiment analysis: Tasks, approaches and applications. Knowledge-Based Systems, 89, 14-46.
Schindler, R. M., & Bickart, B. (2005). Published word of mouth: Referable, consumer-generated information on the Internet. Online consumer psychology: Understanding and influencing consumer behavior in the virtual world, 32.
Vandic, D., van Dam, J.-W., & Frasincar, F. (2012). A semantic-based approach for searching and browsing tag spaces. Decision Support Systems, 54(1), 644-654.
Xie, S., Zhang, J., & Ho, Y.-S. (2008). Assessment of world aerosol research trends by bibliometric analysis. Scientometrics, 77(1), 113-130.
Xing, W., & Ghorbani, A. (2004). Weighted pagerank algorithm. Proceedings of the Second Annual Conference on Communication Networks and Services Research (pp. 305-314). Fredericton, Canada: IEEE.
MBA智庫百科. (2014). 意見領袖 - MBA智庫百科. from http://wiki.mbalib.com/zh-tw/%E6%84%8F%E8%A7%81%E9%A2%86%E8%A2%96
江憲坤、陳鴻文、楊境榮. (2008). 自動鏈結分析演算法在社會網絡之開發與應用.資訊管理學報, 15(3), 157-180.
創市際雙週刊第五十六期. (2016). InsightXplorer Biweekly report 20160115. from http://www.ixresearch.com/wp-content/uploads/report/InsightXplorer%20Biweekly%20Report_20160115.pdf
創市際雙週刊第六十七期. (2016). InsightXplorer Biweekly report 20160715. from http://www.ixresearch.com/wp-content/uploads/report/InsightXplorer%20Biweekly%20Report_20160715.pdf
程毓軒. (2012). 運用社群資訊於個人化之微網誌推薦. 國立成功大學.
維基百科. (2014). 兩級傳播. Retrieved Nov. 15, 2016, from https://zh.wikipedia.org/wiki/%E5%85%A9%E7%B4%9A%E5%82%B3%E6%92%AD
中央研究院中文詞知識庫小組. (2011). 廣義知網知識本體架構.
陳正昌、程炳林、陳新豐、劉子鍵. (2011).多變量分析方法:統計軟體應用(6版).五南出版社。
  • 同意授權校內瀏覽/列印電子全文服務,於2022-12-31起公開。
  • 同意授權校外瀏覽/列印電子全文服務,於2022-12-31起公開。

  • 如您有疑問,請聯絡圖書館