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Mer for cognition: an emotion analysis algorithm in identifying moods of song and valence through musical features
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Mer for cognition: an emotion analysis algorithm in identifying moods of song and valence through musical features
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Journal Article
Mer for cognition: an emotion analysis algorithm in identifying moods of song and valence through musical features
2023
Overview
This study aimed to classify the moods of the song based on musical features that include Acousticness, danceability, energy, Instrumentalness, loudness, liveliness, valence, tempo, and Speechiness. The researcher used the circumplex plane of James Russell, which has four quadrants. Quadrant 1 (Q1) says that when arousal is higher than 5 and valence is lower than 5, the mood is happy. Quadrant 3 (Q3) says that when arousal is lower than 5 and valence is higher than 5, the mood is sad, and Quadrant 4 (Q4) says that when arousal is lower than 5 and valence is higher than 5, the mood is calm. The desktop application music player was integrated to automatically categorize the moods of the songs after testing and training. The leverage of the TensorFlow algorithm will be the basis for classification.
