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研究生:董承翰
研究生(外文):CHENG-HANDONG
論文名稱:網路口碑為基之商品創新機會探索技術研發
論文名稱(外文):On Technology of eWOM-based Chance Discovery for Product Innovation
指導教授:陳裕民陳裕民引用關係陳育仁陳育仁引用關係
指導教授(外文):Yuh-Min ChenYuh-Jen Chen
學位類別:碩士
校院名稱:國立成功大學
系所名稱:製造資訊與系統研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2016
畢業學年度:104
語文別:中文
論文頁數:130
中文關鍵詞:機會探索KeyGraph語意網路詞彙聯想
外文關鍵詞:Chance DiscoveryKeyGraphsemantic networkword association
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良好的企業商品創新與改良,為企業能永續經營成長的重要因素之一,過去企業透過專家訪談、問卷調查及與消費者互動等方式了解消費者需求藉以進行商品創新。但隨著網路技術的蓬勃發展,許多消費者在網路上發表商品有關的評論及進行討論,使得企業有更多元的的管道了解消費者的需求,但大量的網路資訊難以被快速歸納,導致企業無法針對快速變動的市場變化作出快速且正確的決策。
本研究之目的為發展一以網路口碑為基之商品機會探索的方法,再依此開發相關實現技術,以提供企業了解目前網路上之熱門話題以及從這些討論中來獲取商品創新的機會。本方法從大型網路討論區的討論文章精煉產生出事件模型,並從中分析出熱門事件模型,再從與商品有關的討論文章分析並產生商品模型。
本研究以KeyGraph概念混和語意網路(semantic network)為基礎,發展一「商品創新機會探索」方法,以提供企業了解目前網路上之熱門話題以及從這些討論中來獲取商品創新的機會。本方法將收集到網路口碑進行結構化建立出事件Semantic-KeyGraph,再以密度為基的聚類分析(DBSCAN)分析出熱門的事件,透過擴散性思考及詞彙聯想的原則,進行事件與商品間的商品創新機會探索。此方法可提供企業進行商品創新開發可能的機會,亦可提供企業快速的掌握市場脈動以及提快速了解自身商品在於目前市場中所處的狀態。

Good enterprise product innovation and improvement, are an important factor in business growth. In the past, enterprise through expert interviews, questionnaires and consumers interact to understand consumer demand thereby commodity innovation. But with the rapid development of Internet technology, many consumers in the online publication commodity-related comments and discussion, so that enterprises have more diversified pipeline of understanding of consumer needs, but a large number of network information is difficult to be quickly summarized , result in the inability to make quick and correct decisions for the market changes rapidly changing.
This research attempts to apply KeyGraph concept blending semantic network, development of an eWOM-based Chance Discovery for Product Innovation mechanism, providing enterprise understand those hot discussions on the web and find chance of product innovation from these discussions.
Through KeyGraph plus concept of semantic network, the collected ewom establish a structured event Semantic-KeyGraph, cluster analysis (DBSCAN) density-based analysis of the popular event.Chance discovery for product innovation between popular event and product through the principle of divergent thinking and word association. This mechanism provides enterprise product innovation potential chance, can also provide enterprises to quickly grasp the pulse of the market and know their product’s state of the market is in.

摘要 i
誌謝 vi
目錄 vii
圖目錄 ix
表目錄 xii
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 3
1.4研究問題分析 3
1.5研究項目與方法 4
1.6研究發展程序 6
1.7 論文架構 7
第二章、相關文獻與技術探討 8
2.1 研究領域探討 8
2.2 研究技術探討 12
第三章 網路口碑之商品創新機會探索方法設計 18
3.1 商品創新機會探索模式 18
3.2 網路口碑之商品創新機會探索程序 20
3.2.1網路口碑預處理模式設計(eWOM Preprocessing) 21
3.2.2熱門事件分析模式設計(Popular-Event Analysis) 21
3.2.3商品模型分析模式設計(Product-Model Analysis) 23
3.2.4商品機會探索模式設計(Product Innovation Chance Discovery) 24
第四章、網路口碑之商品創新機會探索技術發展 25
4.1網路口碑預處理 (eWOM Preprocessing) 25
4.2熱門事件分析 (Popular Event Analysis) 30
4.3商品模型分析 (Product-Model Analysis) 43
4.4商品機會探索 (Product Innovation Chance Discovery) 51
第五章、系統實作與驗證 63
5.1 系統架構 63
5.2 實作環境介紹 65
5.3 實作結果 66
5.4 實作實例討論 74
5.4.1事件模型與商品模型所呈現之資訊討論 74
5.4.2事件模型與商品模型間機會探索討論 93
5.4.3字詞關聯討論 98
5.4.4 商品創新機會討論 100
5.5 系統畫面 114
第六章、結論與未來方向 118
6.1 總結 118
6.2 研究限制 119
6.3 未來研究方向 119
參考文獻 121
附錄1:熱門事件模型與商品模型關聯字詞列表 126

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二、中文文獻:
许鑫, 俞飞, & 张莉. (2011). 一种文本倾向性分析方法及其应用. 现代图书情报技术, 27(10), 54-62.
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黃純敏, 李亞哲, & 陳柏宏. (2015). 以維基百科為基礎之中文縮寫詞與同義詞庫建構. 資訊管理學報, 22(2), 117-140.
三、網路參考:
CKIP 中文斷詞系統, http://ckipsvr.iis.sinica.edu.tw/
「東東同義詞詞典」http://www.kwuntung.net/synonym/

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