12,184 research outputs found

    Author Identification from Song Lyrics

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    Machine Learning (ML) tools have been used extensively in a wide variety of domains recently. Due the enormous amount of data being produced, machine learning techniques are being heavily used to make sense of data & derive meaningful results. Using machine learning tools, we can turn the data into knowledge. Music is one of the truest forms of art. Bangladesh has a great history of music with a great tradition of song writing over centuries. Authorship attribution is the way of identifying the author from a linguistic corpus. This paper demonstrates a guideline to identify the author of a Bengali song from the lyrics of that song using machine learning. This research work presents the first work on machine learning approach for author attribution from the lyrics of a song. Here six methods of machine learning are used for the author identification and high accuracies have been achieved from these methods. It is observed that Naïve Bayes method provides higher accuracy in comparison with the other methods

    Song

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    Author attribution from Rudolph, 240. Printed on yellow paper with black ink. Set to the tune of "Happy land of Canaan". First line "You Rebels come along and listen to my song"

    Activating 2D nano-kaolinite using hybrid nanoparticles for enhanced phosphate capture

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    A synergistic host-guest coupling is exploited to disorder nano-kaolinite unit layers to form Al2O3 nanoparticles, which act as activated adsorptive sites; meanwhile, the coupling enables La-based nanoparticles to anchor homogenously on the nano-kaolinite surfaces, fully utilizing their adsorption ability. The activated hybrid nanostructures exhibit an excellent phosphate adsorption capacity.Yanfu Wei, Peng Yuan, Yaran Song, Dong Liu, Dusan Losic, Daoyong Tan, Fanrong Chen, Hongchang Liu, Peixin Duab and Junming Zho

    The Singer or the Song? Developments in Performers' Rights from the Perspective of a Cultural Economist

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    Over the last century, performers gradually acquired statutory protection of their economic and moral rights. These rights are not copyright in the legal sense but neighboring rights and until recently, they were mainly remuneration rights that are collectively administered. With the WPPT (WIPO Performers and Phonograms Treaty), performers now have individual exclusive rights for digital performances; this leads to the question: what has motivated this change – is it a change in the perception of the value of performer or a change brought about by the changing technology of copying or, indeed, a change that reflects different economic costs and benefits? The paper discusses the role of copyright law as an incentive to performers and asks if the economic role of the performer is so different from that of the author. The conclusion is that a complex interaction of the legal regulations, economic conditions and institutional arrangements for administering these new rights will determine the outcome

    sj-xls-2-car-10.1177_19476035231205690 – Supplemental material for Cir-DNA Sequencing Revealed the Landscape of Extrachromosomal Circular DNA in Articular Cartilage and the Potential Roles in Osteoarthritis

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    Supplemental material, sj-xls-2-car-10.1177_19476035231205690 for Cir-DNA Sequencing Revealed the Landscape of Extrachromosomal Circular DNA in Articular Cartilage and the Potential Roles in Osteoarthritis by Wei Xiang, Tongyi Zhang, Song Li, Yunquan Gong, Xiaoqing Luo, Jing Yuan, Yaran Wu, Xiaojing Yan, Yan Xiong, Jiqin Lian, Guangyu Zhao, Changyue Gao, Liang Kuang and Zhenhong Ni in CARTILAGE</p

    sj-pdf-4-car-10.1177_19476035231205690 – Supplemental material for Cir-DNA Sequencing Revealed the Landscape of Extrachromosomal Circular DNA in Articular Cartilage and the Potential Roles in Osteoarthritis

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    Supplemental material, sj-pdf-4-car-10.1177_19476035231205690 for Cir-DNA Sequencing Revealed the Landscape of Extrachromosomal Circular DNA in Articular Cartilage and the Potential Roles in Osteoarthritis by Wei Xiang, Tongyi Zhang, Song Li, Yunquan Gong, Xiaoqing Luo, Jing Yuan, Yaran Wu, Xiaojing Yan, Yan Xiong, Jiqin Lian, Guangyu Zhao, Changyue Gao, Liang Kuang and Zhenhong Ni in CARTILAGE</p

    sj-docx-1-car-10.1177_19476035231205690 – Supplemental material for Cir-DNA Sequencing Revealed the Landscape of Extrachromosomal Circular DNA in Articular Cartilage and the Potential Roles in Osteoarthritis

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    Supplemental material, sj-docx-1-car-10.1177_19476035231205690 for Cir-DNA Sequencing Revealed the Landscape of Extrachromosomal Circular DNA in Articular Cartilage and the Potential Roles in Osteoarthritis by Wei Xiang, Tongyi Zhang, Song Li, Yunquan Gong, Xiaoqing Luo, Jing Yuan, Yaran Wu, Xiaojing Yan, Yan Xiong, Jiqin Lian, Guangyu Zhao, Changyue Gao, Liang Kuang and Zhenhong Ni in CARTILAGE</p

    sj-xls-3-car-10.1177_19476035231205690 – Supplemental material for Cir-DNA Sequencing Revealed the Landscape of Extrachromosomal Circular DNA in Articular Cartilage and the Potential Roles in Osteoarthritis

    No full text
    Supplemental material, sj-xls-3-car-10.1177_19476035231205690 for Cir-DNA Sequencing Revealed the Landscape of Extrachromosomal Circular DNA in Articular Cartilage and the Potential Roles in Osteoarthritis by Wei Xiang, Tongyi Zhang, Song Li, Yunquan Gong, Xiaoqing Luo, Jing Yuan, Yaran Wu, Xiaojing Yan, Yan Xiong, Jiqin Lian, Guangyu Zhao, Changyue Gao, Liang Kuang and Zhenhong Ni in CARTILAGE</p

    Freemasons\u27 Song

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    Song concerning pride in Freemasonryhttps://egrove.olemiss.edu/kgbsides_uk/1560/thumbnail.jp

    Northumberland Election Song

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    A song for a political candidate.https://egrove.olemiss.edu/kgbsides_uk/1899/thumbnail.jp
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