運用資料探勘技術預測臉書醫療健康粉絲團活躍率之研究;Research on Predicting the Active Rate of Facebook Fan Page of Medical Health by Using Data Mining Technology.

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Title:	運用資料探勘技術預測臉書醫療健康粉絲團活躍率之研究;Research on Predicting the Active Rate of Facebook Fan Page of Medical Health by Using Data Mining Technology.
Authors:	吳俊霆;Wu, CHUN-TING
Contributors:	資訊管理學系碩士在職專班
Keywords:	臉書;粉絲團;診所;資料探勘;Facebook;Fan Page;Clinic;Data Mining
Date:	2017
Issue Date:	2019-07-17
Publisher:	資訊管理學系碩士在職專班
Abstract:	自從臉書推出粉絲團的功能之後，有越來越多的粉絲團成立，這也包含醫療院所成立的粉絲團。許多研究指出在Facebook粉絲團上鼓勵用戶互動、參與，提升用戶滿意度，可以有效增進用戶對品牌的忠誠度。醫病之間的溝通也使用粉絲團，只要能在粉絲團上多多促進、鼓勵用戶的參與，就可以提升用戶對品牌的忠誠度，進而對醫療院所的忠誠度也會跟著增加。本研究使用Facebook Graph API抓取1,706個臉書粉絲團的貼文、留言等相關資料，再進行彙整、統計，並且以C4.5決策樹、Random forest、支援向量機、邏輯斯迴歸等資料探勘的技術找出關鍵因子。本研究的建議是：提高貼文頻率，並以照片、影片貼文為主，還要注重貼文反應，要注意訪客貼文，不要讓自己的粉絲團變成廣告園地，不要讓負面情緒瀰漫。 Since the launch of Facebook fan page, many fan pages sited up , which includes Medical fan pages.Many studies have pointed out that Facebook fan page to interaction, participation, enhance customer satisfaction can effective enhance the user's Brand loyalty.In this study, the Facebook Graph API was used to capture the information of post and comment of 1,706 clinic fan pages, and then the data were collected. The data were analyzed by C4.5 decision tree, Random forest, support vector machine and logistic regression to identify key factors.The recommendations of this study are: To improve the frequency of photos or video posts, to care the reaction of posts, to care the customer posts, do not let your fan page become advertising garden, do not let the negative emotions filled.
Appears in Collections:	[資訊管理系研究所] 學位論文

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