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    Title: 基於歌詞文本分析技術探討音樂情緒辨識之方法研究
    Exploring Music Emotion Recognition via Textual Analysis on Song Lyrics
    Authors: 陳禔多
    Contributors: 蔡銘峰
    陳禔多
    Keywords: 音樂情緒辨識
    Date: 2017
    Issue Date: 2017-03-01 17:14:04 (UTC+8)
    Abstract: 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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    Description: 碩士
    國立政治大學
    資訊科學學系
    101753006
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G1017530061
    Data Type: thesis
    Appears in Collections:[Department of Computer Science ] Theses

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