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Keywords = SPARSAR = specialized NLP system for English poetry

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39 pages, 8207 KiB  
Article
Multidimensional Visualization of Sound–Sense Harmony for Shakespeare’s Sonnets Classification
by Rodolfo Delmonte and Nicolò Busetto
Appl. Sci. 2024, 14(24), 11949; https://doi.org/10.3390/app142411949 - 20 Dec 2024
Viewed by 887
Abstract
In this article, we focus on the association of sound and sense harmony in the collection of sonnets written by Shakespeare in the XVI° beginning of the XVII° century and propose a new four-dimensional representation to visualize them by means of the system [...] Read more.
In this article, we focus on the association of sound and sense harmony in the collection of sonnets written by Shakespeare in the XVI° beginning of the XVII° century and propose a new four-dimensional representation to visualize them by means of the system called SPARSAR. To compute the degree of harmony and disharmony, we automatically extracted the sound grids of all the sonnets and combined them with the semantics and polarity expressed by their contents. We explain in detail the algorithm and show the representation of the whole collection of 154 sonnets and comment on them extensively. In a second experiment, we use data from the manual annotation of the sonnets for satire detection using the Appraisal Theory Framework, to gauge the system’s accuracy in matching these data with the output of the automatic algorithm for sound–sense harmony. The results obtained with a 94.6% accuracy confirm the obvious fact that the poet has to account for both sound and meaning in the choice of words. Full article
(This article belongs to the Special Issue Algorithmic Music and Sound Computing)
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