Emotion recognition algorithms recognize, infer, and harvest emotions using data sources
such as social media behavior, streaming service use, voice, facial expressions, and …

Music plays an extremely important role in people's production and life. The amount of music
is growing rapidly. At the same time, the demand for music organization, classification, and …

Listening to music is a crucial tool for relieving stress and promoting relaxation. However,
the limited options available for stress-relief music do not cater to individual preferences …

This paper investigates the sentiment and emotion of digital payment application consumers
using a hybrid approach consisting of both supervised and unsupervised machine learning …

Music therapy is a therapeutic strategy that uses the natural mood enhancing feature of
music to help patients improve their mental health. The music therapist employs a variety of …

Music therapy is increasingly being used to promote physical health. Emotion semantic
recognition is more objective and provides direct awareness of the real emotional state …

People can learn, understand, and use music using the solfeggio method. People involved
in professional music training have given it importance because it is a fundamental …

The elderly have an elevated risk of clinical depression because of isolation from family and
friends and a reticence to report their emotional states. The present study explored whether …

Aiming at the problems of music emotion classification, a music emotion recognition method
based on the convolutional neural network is proposed. First, the mel‐frequency cepstral …

At present, the existing music classification and recognition algorithms have the problem of
low accuracy. Therefore, this paper proposes a music recognition and classification …