Automated Classification of Emotions Using Song Lyrics
Description:
This thesis explores the classification of emotions in song lyrics, using automatic approaches applied to a novel corpus of 100 popular songs. I use crowd sourcing via Amazon Mechanical Turk to collect line-level emotions annotations for this collection of song lyrics. I then build classifiers that rely on textual features to automatically identify the presence of one or more of the following six Ekman emotions: anger, disgust, fear, joy, sadness and surprise. I compare different classificatio…
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Date:
December 2012
Creator:
Schellenberg, Rajitha
Partner:
UNT Libraries