Paper Info
Title
LYRIC-BASED SONG EMOTION DETECTION WITH AFFECTIVE LEXICON AND FUZZY CLUSTERING METHOD
Abstract
A method is proposed for detecting the emotions of Chi- nese song lyrics based on an affective lexicon. The lexicon is composed of words translated from ANEW and words selected by other means. For each lyric sentence, emo- tion units, each based on an emotion word in the lexicon, are found out, and the influences of modifiers and tenses on emotion units are taken into consideration. The emo- tion of a sentence is calculated from its emotion units. To figure out the prominent emotions of a lyric, a fuzzy clus- tering method is used to group the lyric's sentences accord- ing to their emotions. The emotion of a cluster is worked out from that of its sentences considering the individual weight of each sentence. Clusters are weighted accord- ing to the weights and confidences of their sentences and singing speeds of sentences are considered as the adjust- ment of the weights of clusters. Finally, the emotion of the cluster with the highest weight is selected from the promi- nent emotions as the main emotion of the lyric. The perfor- mance of our approach is evaluated through an experiment of emotion classification of 500 Chinese song lyrics.
Year
Venue
Keywords
2009
ISMIR 2013
fuzzy clustering
Field
DocType
Citations 
Fuzzy clustering,Computer science,Emotion classification,Speech recognition,Lexicon,Emotion detection,Singing,Natural language processing,Artificial intelligence,Lyrics,Affect (psychology),Sentence
Conference
33
PageRank 
References 
Authors
1.46
4
3
Name
Order
Citations
PageRank
Yajie Hu1684.59
Xiaoou Chen213213.93
Deshun Yang3647.37