臺灣博碩士論文加值系統

隨著網際網路發展提供一個讓消費者可以在網路上分享它們對產品的評價，但缺鮮少討論於食的方面平台，對於傳統的餐飲業者，想要了解消費者的用餐滿意度，只能用紙本方式讓顧客填寫，額外增加紙本的印刷成本，且無法即時給予回饋，本研究利用網路爬蟲技術抓取社群媒體的網頁評論來進行評論的蒐集，並透過文字情緒分析了解消費者的用餐滿意度。經由研究消費者的評論，可以改善餐廳的經營模式及提升餐廳業績，讓店家隨時掌握資訊、讓店家更加了解客戶的需求。

With the development of the Internet, a platform for consumers to share their products on the Internet, but less to discuss the platform of food, in order to understand the satisfaction of consumers, traditional catering companies can only Using paper to let customers fill in, this method additionally increases the printing cost of paper, and cannot give feedback immediately. In this thesis, we use web crawler technology to capture webpage comments of social media to collect data and understand consumers’ degree of satisfaction through text analysis. By researching consumer reviews, we can improve the restaurant's business model and enhance the restaurant's performance. The restaurant can keep abreast of the information and let the restaurant know more about the customer's needs.

摘要 I
ABSTRACT II
致謝 III
目錄 IV
圖目錄 VII
表目錄 VIII
第一章 緒論 1
1.1研究動機 1
1.2研究目的 3
1.3論文架構 4
第二章 文獻探討 5
2.1虛擬社群的定義 8
2.2社群網站功能比較 10
2.2.1社群網站進階功能 11
第三章 研究方法 12
3.1系統整合與設計 13
3.1.1社群雲端系統 13
3.1.2餐廳網站 15
3.1.3 Google 15
3.1.4 Facebook粉絲專頁 16
3.2系統流程圖 17
3.2.1文字情緒分析 18
3.2.2特徵詞擷取 19
3.2.3字典法 19
3.2.4統計法 20
3.2.5意見詞提取 20
3.2.6情緒方向判斷 20
第四章 實驗結果 21
4.1評論資料收集分析 21
4.2結果分析 25
4.3社群媒體於餐飲業行銷 26
4.3.1Line@ 28
4.3.2Facebook行銷 29
第五章 結論與未來工作 30
5.1結論 30
5.2未來工作 31
參考文獻 32

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