臺灣博碩士論文加值系統

網路資訊豐富且取得便利，其中包含了口碑、評價等可以瞭解市場與消費者反應的資訊，且此資訊已成為企業產品創新或服務改善的重要參考。由於市場動態變化頻繁，易受到時間發生的演變、因果事件的相互影響與群眾在網路上對於人事時地物的評論，造成事件間產生不同的關聯。因此掌握這些關聯是攸關企業能否在市場搶得先機的重要因素之一。本研究目的是發展一考量順序關係之市場機會探索方法。利用文字探勘與語意分析等方法，探勘事件間的關聯法則與時間、因果、階層等順序關係，以瞭解市場趨勢，並協助企業尋找市場機會，提升企業競爭力。

With the richness of Internet, it becomes easier to get information, including the word of mouth and appraisal which help the product innovation or service improvement for enterprises. However, as the frequent change of market, the variation of time, the causal event, and the users’ rates could form the different connections between events. To know well the connections becomes an important factor to take the preemptive opportunities for enterprises. This study proposed a chance discovery method with consideration of sequential relationship, which integrates the text mining and semantic analysis to explore the general, time, causal, and hierarchical relations. The method could assist enterprises understanding the trends of market, finding the change, and enhancing the competitiveness.

摘要 I
Abstract II
致謝 III
目錄 IV
表目錄 VI
圖目錄 VII
第一章 緒論 1
1.1 研究背景 1
1.2 研究動機 2
1.3 研究目的 2
1.4 問題分析 3
1.5 研究項目 4
1.6 研究步驟 5
1.7 論文架構 7
第二章 文獻探討 9
2.1 機會探索 9
2.2 資料探勘 11
2.3 邏輯迴歸分析 13
第三章 模式與流程設計 15
3.1 模式設計 15
3.2 流程設計 17
3.2.1 部落格資料蒐集 17
3.2.2 部落格內容前處理 17
3.2.3 字詞精煉 18
3.2.4 資料探勘與順序關係探勘 18
3.2.5 機會價值評估 19
第四章 核心方法設計 21
4.1 部落格內容蒐集 21
4.1.1 部落格內容搜尋 21
4.1.2 領域辭彙庫建構 22
4.2 部落格內容前處理 22
4.2.1 序列資料萃取 23
4.2.2 因果資料萃取 23
4.2.3 形容詞資料萃取 23
4.3 字詞精煉 24
4.4 資料探勘與順序關係探勘 25
4.4.1 時間關係探勘 25
4.4.2 因果關係探勘 26
4.4.3 階層關係探勘 27
4.4.4 關聯法則探勘 29
4.5 機會價值評估 30
4.5.1 候選機會價值評估 30
4.5.2 總體價值評估 32
第五章 實驗設計與機制驗證 34
5.1 資料簡介與實驗流程 34
5.2 實作畫面與數據分析 34
5.2.1 部落格內容前處理實驗分析 35
5.2.2 字詞精煉實驗分析 35
5.2.3 資料探勘與順序關係探勘實驗分析 38
5.2.4 機會價值評估實驗分析 43
5.2.5 小結 51
第六章 結論與未來展望 53
6.1 結論與成果 53
6.2 研究限制 53
6.3 未來研究方向 53
參考文獻 55
附錄一 光儲存領域字典 58
附錄二 因果動詞表 65
附錄三 形容詞對應之概念(地圖) 66

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