子中加入表情符號，往往有增強語氣的效果（張慧美，2006）。Kouloumpis 等人
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（2011）更指出，表情符號和英文縮寫等網路用語是微型部落格的情感分類的重 要特徵。在我們之前的研究成果中，我們結合了中文網路語言的研究以及過去文 獻所使用的文字正規化方法，設計了一套以中文網路文本為對象的網路文字正規 化方法（黃泓彰與楊亨利，2013）。此方法不僅有助於斷詞和斷句的處理，更有 可能從正規化後的文字取得更多可用於特徵抽取的資訊。
在本研究對文件層次分類錯誤的分析中，我們可看到因為對不同的屬性有不 同偏好，而使得文件層次的情感分類產生錯誤的情形。文件層次的情感分類較為 宏觀，因此無法專注於對特定屬性有偏好的使用者。相較之下，屬性層次的情感 分類是一個微觀的作法，如果我們可以將一篇文章的情感取向依文章中所談到的 每個屬性分開呈現，應有助於系統的使用者獲得更多在文件層次的分類時無法取 得的資訊。
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