隨著時代迅速的發展，3C類電子產品不同於以往，種類繁多且可滿足各種使用場景，進而影響了消費者對於筆記型電腦的需求，本研究將以國內某知名電商的交易紀錄探討現今消費者會參考筆記型電腦的何種規格作為購買依據。

本研究將以國內某知名電商2019/6/13到2020/2/28號共28,393筆的筆記型電腦交易紀錄作為資料來源，且另外整併2019/5/31到2020/02/14的各大虛擬貨幣價格做為變數放入模型中，並加入顯示卡算力數據額外檢驗是否算力會影響筆記型電腦的價格，最後爬取PTT及Dcard等社群媒體的消費者情緒指標，研究消費者對顯示卡及筆記型電腦等字眼的社群情緒是否會影響筆電價格。

研究結果得出將情緒分數做兩週的遞延後，並將其與顯示卡算力作交叉項處理加入非線性模型中，迴歸模型得出來的結果呈現出”顯示卡”字眼的情緒分數會對模型有顯著性影響，而”筆記型電腦”以及其他品牌的關鍵字不會有顯著影響，而另外加入的自變數如顯示卡算力、是否為電競型、比特幣價格皆會對筆記型電腦的價格有顯著影響，另外在固定時間效果的情況下，不同的月份都會對筆記型電腦的價格有顯著影響。

With the rapid development of this generation, 3C electronic products are different from the past, with a wide variety and can meet various usage scenarios, which in turn affects consumers' demand for notebook computers. Consumers will refer to the specifications of the notebook computer as the basis for purchasing.

This research will use a total of 28,393ebook computer transaction records from a well-known domestic e-commerce company from 2019/6/13 to 2020/2/28 as the data source. Besides, the price of major virtual currencies from 2019/5/31 to 2020/2/14 is put into the model as a variable, and the hashrate data of the GPU is added to additionally check whether the hashrate will affect the price of the notebook. Finally, the consumer sentiment indicators of social media such as PTT and Dcard are crawled to study. To examine whether consumer sentiment towards terms such as graphics cards and laptops affects laptop prices.

The research results show that after the emotional score is deferred for two weeks, it is processed as an intersection with the graphics card computing power and added to the nonlinear model. The results obtained by the regression model show that the emotional score of the word "GPU" will affect the model has a significant impact, while the keywords of "laptop" and other brands will not have a significant impact, and additional independent variables such as the hashrate, whether it is an e-sports type, and the price of Bitcoin will all significantly affect the price of the laptop. And in the case of a fixed time effect, the different months will have a significant impact on the price of the laptop.

學位論文審定書 ................................................................................................. i
摘要 .................................................................................................................. ii
Abstract ............................................................................................................ iii
目錄 ................................................................................................................. iv
圖次 ................................................................................................................. vi
表次 ................................................................................................................ vii
壹、 緒論 ................................................................................................... 1
一、 研究背景 ......................................................................................... 1
(一) 筆電市場概述 .......................................................................... 1
(二) 筆電硬體概述 .......................................................................... 2
二、 研究動機與目的 .............................................................................. 5
三、 研究缺口 ......................................................................................... 6
四、 研究問題 ......................................................................................... 6
五、 研究步驟與流程 .............................................................................. 7
貳、 文獻回顧 ............................................................................................ 8
一、 特徵價格分析 ................................................................................. 8
二、 筆記型電腦特徵模型 ....................................................................... 9
(一) 模型簡介 ................................................................................. 9
(二) 模型展示 ................................................................................. 9
三、 情緒分析 ....................................................................................... 11
(一) 意見定義 ............................................................................... 12
(三) 意見的主客觀性與情緒 .......................................................... 12
(四) 監督與非監督式學習 .............................................................. 13
(五) 小結 ....................................................................................... 14
參、 研究方法 .......................................................................................... 16
一、 資料來源 ....................................................................................... 16
(一) 網路電商平台交易資料 .......................................................... 16
(二) 外部連接資料 ........................................................................ 18
二、 資料清理流程 ............................................................................... 18
(一) 資料蒐集 ............................................................................... 18
(二) 資料清洗 ............................................................................... 19
(三) 情緒資料處理 ........................................................................ 22
三、 研究變數總覽 ............................................................................... 24
四、 研究分析工具 ............................................................................... 26
肆、 研究結果 .......................................................................................... 29
一、 敘述性統計 ................................................................................... 29
二、 模型結果 ....................................................................................... 39
三、 非線性模型結果 ............................................................................ 41
伍、 結論與建議 ....................................................................................... 47
一、研究結論 ........................................................................................... 47
二、研究建議 ........................................................................................... 48
(一) 社群資訊蒐集 ........................................................................ 48
(二) 分離零件效能 ........................................................................ 48
(三) 分析其他市場資訊 ................................................................. 49
三、研究限制與未來應用 ......................................................................... 49
(一) 納入更多的社群平台做情緒分數 ............................................ 49
(二) 更長時間的資料 ..................................................................... 49
(三) 不同平台的交易資料 .............................................................. 50
參考文獻 ........................................................................................................ 51

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