音樂是一種情感豐富的媒體。即使跨越了數個世紀，人們還是會對同一首歌曲的情緒表達有類似的理解。然而在現今的數位音樂資料庫可以看出，我們是不可能憑著人力完成數量如此龐大的音樂情緒辨識，也因此期待電腦可以協助完成如此繁重的工作。隨著機器學習的發展，電腦逐漸可以透過統計模型與數學模型判斷與辨識一些並未事先提供規則的資料，而無法言傳的音樂情緒也得以有機會交由電腦辨識、分類。雖然目前有許多透過訊號處理技術進行的音樂辨識研究，但是透過歌詞文本的辨識卻是相對少見，使用的特徵也多侷限於通用的文字資訊。本研究以音訊特徵為基礎，從不同的歌詞文本資訊出發，透過分析歌詞文本進行歌曲情緒辨識，提供更多優化的參考資訊，藉以提升歌曲於交流、表達、推薦等互動的功能性與準確性。實驗結果發現，歌詞文本資訊對於歌曲的正負面情緒辨識確實有相當好的表現，而對於特定分類的限制則是值得更多透過不同自然語言處理的方法強化的。

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