第五章 研究結論與未來方向
第二節 未來方向
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第二節 未來方向
本研究透過新聞主題偵測與追蹤及網絡連結之方式建構新聞主題脈絡以及 萃取新聞情緒來探討與股價之關係，但仍有許多限制與待改進方向：
(1) 更多樣化之資料來源：
本研究之新聞來源僅自中央社，而且僅限定於經濟新聞，對於計算情緒而言 可能較無法以綜觀之方式來進行情感分析，未來可以撰寫適合更多新聞網站之爬 蟲程式，甚至衍伸之社群網站，以求資料來源更全面，更能反映大環境之輿情。
(2) 新聞主題偵測與追蹤之成效改進：
本研究透過新聞主題偵測與追蹤之技術的確可以將相似內容之新聞群聚，但 常常會有數量過少之無效群集，或是發生於不同時空但相似之新聞事件卻會被分 至相同群集中。對此可以從事更進一步研究如：無效群集合併，將新聞數量過少 之群集打散，新聞重新排入偵測與追蹤序列中；偵測何類新聞事件還在發展中，
發展中新聞事件可以接受新進新聞文章進入群集，而過了特定時間區間後新聞事 件不再發展，有相似之新聞事件則要分類至新的群集。
(3) 新聞事件之因果關係：
本研究群集間建立連結之依據乃群集間之相似度，對此只能確定群集彼此內 容有相似，卻無法分析群集間之因果關係。往後之研究可以針對群集間因果關係 深入探討，如此一來對於新聞事件、新聞主題之脈絡產生也將會更準確。
(4) 情感分析成效改進：
本研究於新聞情感分析上使用關鍵字偵測法，其成效取決於情感辭典的完備 程度，然而所參考之台大意見詞辭典對於經濟類之情感詞彙建構不甚完善，於經
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濟類新聞情緒判斷上將會有誤差。未來建議可以參考國外學者，建立起中文之經 濟類情感詞庫，進而改善情感分析之成效。
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