相關研究指出，爭取一個新客戶的成本，是維繫一個舊客戶成本的五倍，而網友常會在網路上表達更換或勸人更換原業者的文章。所以本研究將以網際網路服務供應商(Internet Service Provider，ISP)為研究對象，冀望能盡快找出這些文章，爭取時效來處理以減少顧客流失。所以本研究將利用中文意見探勘系統找出可能在表達更換或勸人更換原業者的完整句(opinion sentences)，再使用AC分類器對這些完整句做進一步的分類。但由於原意見探勘系統是針對口碑分析所設計，無法準確表達這類完整句，導致分類效能不佳。本研究在不影響原意見探勘系統功能的前提下，(1)修改系統原完整句表達方式:將含動詞的完整句由四個意見元素的組合改成由七個意見元素的組合而成；(2) 新增回推功能以填補某些完整句所缺的面相資訊。經實驗證明，強化完整句表達的精準度確實可以大幅改善分類的結果。

Studies show that gaining one customer costs five times as much as keeping one customer, and web users often use the Internet to express a desire to change providers or encourage others to switch.  This study uses Internet Service Providers (ISPs) as the study target, hoping to find these writings as fast as possible in an effort to reduce the loss of custom-ers.  This study will make use of Chnese-language opinion mining systems to search for complete sen-tences (opinion sentences) that might be expressing a desire to change providers or encouraging others to switch.  It will also use AC classifiers to perform further classification on these sentences.  But be-cause the opinion mining systems were designed for analyzing word of mouth reputations, current com-plete sentences cannot accurately this type of textual opinions, resulting in poor classification.  On the premise of not affecting the opinion mining system, this study will: 
1.	.revise the system's sentence conveyance method, changing from four opinion ele-ments to seven opinion elements for sen-tences containing verbs; 
2.	.introduce a pushback function to fill in exterior information that is lacking in some sentences.  
As evidenced by experiments, strengthening  the accuracy of complete sentence expression could significantly improve classification results.

第一章	緒論	1
1-1 研究動機與目的	1
1-2 論文架構	3
第二章	文獻探討	5
2-1 中文意見探勘系統相關研究	5
2-2 關聯規則 (Associative Rule)	10
2-3 關聯式分類 (Associative Classification)	12
第三章	研究方法	15
3-1 問題陳述	15
3-2 研究流程圖	18
3-2-1 新完整句表達方式的介紹	20
3-2-2 回推功能的介紹	21
3-2-3 人工標記分類	22
3-2-4 資料預處理	24
3-2-5 AC分類器的建立	26
第四章	實驗結果	27
4-1 資料來源	27
4-2 新完整句表達方式對AC分類器的影響分析	30
4-3 推功能對關聯分類器的影響分析	33
第五章	結論與未來展望	37
參考資料	38


 
圖目錄
圖 1支持度及信賴度定義	12
圖 2一般AC分類器規則排序方法	14
圖 3研究流程圖	18

 
表目錄
表 1意見元素定義表	10
表 2新完整句的表達方式	20
表 3回推後資料範例	22
表 4分類類別為Yes的資料	23
表 5衍生性屬性定義表	24
表 6實驗資料欄位	25
表 7頻道列表	28
表 8完整句統計	29
表 9篇數統計	30
表10 a原完整句表達方式-完整句統計	32
表10 b新完整句表達方式-完整句統計	32
表11 a原完整句表達方式-篇數統計	32
表11 b新完整句表達方式-篇數統計	32
表12 a回推前RC-AC分類器-完整句統計	34
表12 b回推後RC-AC分類器-完整句統計	34
表13 a回推前RC-AC分類器-篇數統計	34
表13 b回推後RC-AC分類器-篇數統	34
表14 1規則差異	35
表15  a回推前YN-AC分類器-完整句統計	36
表15  b回推後YN-AC分類器-完整句統計	36
表16  a回推前YN-AC分類器-篇數統計	36
表16  b回推後YN-AC分類器-篇數統計	36

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