![]() ![]() It has been shown that the lexical features from lyrics, metadata, social tags and audio-based features can be used to predict the mood of a song. For instance, sentiment analysis has been applied to uncover a long-term trend of declining valence in popular song lyrics. ![]() Meanwhile, the growth of music databases as well as the advancement of the field of Music Information Retrieval (MIR) opened new avenues for data-driven studies of music. As a result, creating large datasets and discovering statistical regularities has been a challenge. Such methods may produce high-quality data, but the data collection process involved is both labour- and resource-intensive. The study of music perception has been dominated by methods that directly measure emotional responses, such as self-reports, physiological and cognitive measurements, and developmental observations. Although music has accompanied humanity since the dawn of culture and its underlying mathematical structure has been studied for many years, understanding the link between music and emotion remains a challenge. The power of music to evoke strong feelings has long been admired and explored.
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June 2023
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