Lyric-Based Song Sentiment Analysis by Sentiment Vector Space Model
Yufei Liu · Zhongwen xinxi xuebao · 2010
Song sentiment analysis has not been satisfactorily addressed in audio signal processing community.In this paper,the lyric is used as proof for song sentiment analysis and the sentiment vector space model(s-VSM) is proposed to represent given lyric.Compared to the word-based vector space model(w-VSM),the s-VSM model successfully addresses the critical issues on text representation efficiency,ambiguity,functionality and data sparseness.Furthermore,the two-dimension Thayer sentiment stress model,i.e.light-hearted and heavy-hearted,are extended to a four-dimension model to incorporate two extra sentiment stress levels: complicated and implied level.Experiments show that 1) the s-VSM model outperforms the traditional methods;and 2) the four-dimension sentiment stress model is helpful to further improve performance of song sentiment analysis.