後續研究方向

先前研究指出，關於產品的正向情緒推特內容(tweets with positive sentiment) 對產品的市場需求有直接的影響，Tuarob and Tucker（2013）的研究指出正向 Tweets 和銷售量的相關係數高於中性和負面的tweets，表示正向情緒的使用者創作內容是 預測銷售的良好指標：例如為此研究標的之一的iPhone 4，銷售前零到三個月的正 向情緒的推特討論數量和產品銷售量具有很強的關聯性，其相關係數分別為0.9476, 0.9845, 0.9834, 0.8249。

後續的研究者可將上述研究和本篇研究結合，廣泛搜集產品上市前的討論和 產品銷售量為分析資料，進行面向萃取與情緒分析(sentiment analysis)，探討個別 產品面向的極性(polarity)與產品上市後不同期間銷售量間的關聯，廠商可透過此類

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研究了解產品在未上市階段影響消費者購買決策的重要產品面向，以達更有效地 運用行銷資源、更精準地掌握影響產品上市初期銷售量的關鍵面向。或是將產品 上市前的討論依距離上市時間的長短將討論內容分成不同時間區間，分析各面向 在上市前不同時間點極性分數的變化，探討群眾在討論各產品面向時的正負情緒 是否會依時間有特定的改變模式(patterns)以及其所代表的意涵。

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