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容文本的探索，幫助使用者從資料集中找出感興趣的事件並瞭解發展脈絡，雖已 證實本系統之有效性，但本研究未竟之處仍多，本研究提出以下幾點，希望未來 可繼續朝以下幾個面向邁進：（1）改善字雲（word cloud）呈現的彈性度，包括 增加縮放、拖曳等互動式體驗，以及提供設定時間區間來改變呈現的詞彙。（2）
改善時間軸呈現關鍵推文的方式，以目前的設計，假如系統推薦的關鍵推文則數 過多，在時間軸上的呈現就會以堆疊的方式顯示，使用者必須不斷上下拖拉時間 軸才能瀏覽同一時間點前後的推文，可能的改善方式為假如使用者縮小時間軸時，
將時間點相近的推文聚合起來，放大時間軸時再散開顯示。（3）實現單一推文屬 性能有一個以上參數分析的能力。例如使用者想同時對兩個 hashtag 分析新聞事 件，但此狀況可能會造成系統推薦出來的推文量較多，這時候需要搭配第 2 項議 題來改善系統，方能增強系統實用性。（4）驗證推文分群結果的好壞，以及作為 輔助研究者找尋新聞議題的適切性。
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