Much work is focused upon music genre recognition (MGR) from audio recordings, symbolic
data, and other modalities. While reviews have been written of some of this work before, no …

Music genre classification, especially using lyrics alone, remains a challenging topic in
Music Information Retrieval. In this study we apply recurrent neural network models to …

In the discipline of Music Information Retrieval (MIR), categorizing music files according to
their genre is a difficult process. Music genre classification is an important multimedia …

Music can evoke strong emotions. Research has suggested that pleasurable chills
(shivering) and tears (weeping) are peak emotional responses to music. The present study …

Organize songs, albums, and artists in groups with shared similarity could be done with the
help of genre labels. In this paper, we present a novel approach for automatic classifying …

There are various genres of music available in every period and field of human life. Every
music genre represents a set of shared conventions. Today people have the opportunity to …

Automatic book genre classification is a hard task as it requires the whole book's content or
a high-quality summary, which is challenging to write automatically. On the other hand …

Music genres refer to division of music into categories on the basis of interaction between
artists, market forces and culture. They help to organize music into collections by indicating …

The Lyrical part of a song is a rich source of datasets containing words that are helpful in
analysis and classification of sentiments generated from it Sentimental analysis is not mere …

Music genre refers to categorisation of music on the basis of interaction between artists,
market forces, and culture. It helps to organize music into collections by indicating …