Text Analysis with R: For Students of Literature (Quantitative Methods in the Humanities and Social Sciences)
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Text Analysis with R for Students of Literature (Quantitative Methods in the Humanities and Social Sciences)
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Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text (Quantitative Methods in the Humanities and Social Sciences)
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Artificial Intelligence and the Arts: Computational Creativity, Artistic Behavior, and Tools for Creatives (Computational Synthesis and Creative Systems)
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Deep Learning Techniques for Music Generation (Computational Synthesis and Creative Systems)
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Visualizing History’s Fragments: A Computational Approach to Humanistic Research
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Music Through Fourier Space: Discrete Fourier Transform in Music Theory (Computational Music Science)
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The Topos of Music I: Theory: Geometric Logic, Classification, Harmony, Counterpoint, Motives, Rhythm (Computational Music Science)
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Corpus Linguistics and Statistics with R: Introduction to Quantitative Methods in Linguistics (Quantitative Methods in the Humanities and Social Sciences)
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