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博碩士論文 etd-0627116-120111 詳細資訊
Title page for etd-0627116-120111
論文名稱
Title
從使用者評論探勘競爭者
Competitor Mining Using Customer Reviews
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
48
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2016-07-08
繳交日期
Date of Submission
2016-07-27
關鍵字
Keywords
文字探勘、機器學習、競爭者辨識、顧客評論、比較意見
competitor identification, text mining, machine learning, comparative opinions, customer reviews
統計
Statistics
本論文已被瀏覽 5966 次,被下載 121
The thesis/dissertation has been browsed 5966 times, has been downloaded 121 times.
中文摘要
對於企業而言,競爭者辨識扮演相當重要的角色,並影響著企業成功與否。面對眾多的競爭者,公司必須能夠正確地辨識出他們,才能夠制定相對應的競爭策略,並且抵抗競爭者的入侵。在我們的研究中,我們透過文字探勘以及機器學習的方式,協助企業辨識競爭者。在顧客評論中,顧客時常會比較兩項產品或公司。因此,我們可以利用這些評論裡的比較意見,計算兩間公司被顧客共同比較的次數,以及評論者偏好的公司。接著,我們透過網路的方式去呈現公司跟公司之間的競爭關係。最後,我們根據上述計算的共同比較次數以及偏好,去建立分類器,分類兩間公司之間是否為競爭者。最後,我們將會評估我們提出的方法。
Abstract
Competitor identification plays an important role in the success of a company. Companies have to identify their competitors to make the business strategies before confronting them. In this work, we propose a text mining and machine learning method to identify competitors for companies. Using the comparative opinions in customer reviews, we attempt to obtain the various information, including amount of co-occurrence and sentiment, associated with a pair of companies. Then, we build a classifier to identify competitors based on the co-occurrence and sentiment information. We finally demonstrate and evaluate our proposed method.
目次 Table of Contents
CHAPTER 1 - Introduction 1
1.1 Background and Motivation 1
1.2 Research Purpose 2
1.3 Contribution 3
1.4 Thesis Organization 3
CHAPTER 2 – Literature Review 4
2.1 Managerial Aspect 4
2.2 Technical Aspect 6
2.2.1 Comparative Sentence Mining 6
2.2.2 Competitor Mining 7
CHAPTER 3 – Problem Definition 9
CHAPTER 4 – Methodology 11
4.1 Overall Process 11
4.2 Data Collection 12
4.3 Relationships Extraction 14
4.4 Construct the Candidate Competitor Pairs 22
4.5 Build a Classification Model 24
CHAPTER 5 – Performance Evaluation 26
5.1 The Gold-standard Data of Competitors 26
5.2 The Candidate Competitor Pairs 29
5.3 Four Evaluation Metrics 30
5.4 Compare Various Classification Methods 31
5.5 Performance Results 32
CHAPTER 6 – Conclusion 38
References 39
參考文獻 References
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Jindal, N., & Liu, B. (2006b). Mining Comparative Sentences and Relations. AAAI, 22, 1331–1336. http://doi.org/10.1107/S0108270189000326
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Pant, G., & Sheng, O. R. L. (2009). Avoiding the Blind Spots: Competitor Identification Using Web Text and Linkage Structure. In Thirtieth International Conference on Information Systems. Retrieved from http://aisel.aisnet.org/icis2009 Recommended
Peteraf, M. A., & Bergen, M. E. (2003). Scanning dynamic competitive landscapes: A market-based and resource-based framework. Strategic Management Journal, 24(10 SPEC ISS.), 1027–1041. http://doi.org/10.1002/smj.325
Porter, M. E. (1980). Competitive strategy: Techniques for analyzing industries and companies. New York. http://doi.org/10.1002/smj.4250020110
Xu, K., Liao, S. S., Li, J., & Song, Y. (2011). Mining comparative opinions from customer reviews for Competitive Intelligence. Decision Support Systems, 50(4), 743–754. http://doi.org/10.1016/j.dss.2010.08.021
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