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Chapter and Conference Paper
EEG Signal-Based Human Emotion Recognition Using Power Spectrum Density and Discrete Wavelet Transform
Emotion recognition has been a problem in the field of brain–computer interface. Numerous ways are available for recognizing human emotions and one such technique is through Electroencephalogram (EEG) signals....
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Chapter and Conference Paper
Sarcastic Sentiment Detection and Polarity Classification of Tweets Using Supervised Learning
Nowadays, due to the rapid growth in web technologies and internet usage, there is an enormous amount of data available in WWW and also growing progressively. The data includes online learning, exchanging idea...
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Chapter and Conference Paper
Music Therapy for Transforming Human Negative Emotions: Deep Learning Approach
The paper presents the music therapy approach on controlling and transforming the human emotions. The proposed approach considers six basic emotions such as happy, sad, angry, fear, depression, and surprise along...