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BanglaMusicStylo: A Stylometric Dataset of Bangla Music Lyrics

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dc.contributor.author Hossain, Rafayet
dc.contributor.author Marouf, Ahmed Al
dc.date.accessioned 2019-05-09T06:57:54Z
dc.date.accessioned 2019-05-27T09:59:28Z
dc.date.available 2019-05-09T06:57:54Z
dc.date.available 2019-05-27T09:59:28Z
dc.date.issued 2018-12-03
dc.identifier.uri http://hdl.handle.net/20.500.11948/3533
dc.description.abstract With the rapid growth of Bangla music industry huge volume of Bangla songs are produced every day. Immense number of producers, lyricists, singers and artists are involved in production of songs from different genres. Among many genres of Bangla music; classical, folk, baul, modern music, Rabindra Sangeet, Nazrul Geeti, film music, rock music and fusion music has gained the highest popularity. Lyricists try to express their feelings and views towards any situation or subject through their writings. Therefore, each lyricist have their own dictionary of thoughts to put on music lyrics. In this paper, we have presented “BanglaMusicStylo”, the very first stylometric dataset of Bangla music lyrics. We have collected 2824 Bangla song lyrics of 211 lyricists in a digital form. All the lyrics are stored in text format for further use. This dataset could be used for stylometric analysis such as authorship attribution, linguistic forensics, gender identification from textual data, Bangla music genre classification, vandalism detection, emotion classification etc. Identifying the significant research opportunities in this area, we have formalized this dataset which could be used for stylometric analysis. en_US
dc.language.iso en_US en_US
dc.publisher IEEE en_US
dc.subject Linguistics en_US
dc.subject Feature extraction en_US
dc.subject Forensics en_US
dc.subject Instruments en_US
dc.subject Rocks en_US
dc.subject Tools en_US
dc.subject Semantics en_US
dc.title BanglaMusicStylo: A Stylometric Dataset of Bangla Music Lyrics en_US
dc.type Other en_US


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