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http://dx.doi.org/10.17703/JCCT.2021.7.3.591

Deep Learning Application for Core Image Analysis of the Poems by Ki Hyung-Do  

Ko, Kwang-Ho (Dept. of Smart Automobile, Pyeongtaek Univ)
Publication Information
The Journal of the Convergence on Culture Technology / v.7, no.3, 2021 , pp. 591-598 More about this Journal
Abstract
It's possible to get the word-vector by the statistical SVD or deep-learning CBOW and LSTM methods and theses ones learn the contexts of forward/backward words or the sequence of following words. It's used to analyze the poems by Ki Hyung-do with similar words recommended by the word-vector showing the core images of the poetry. It seems at first sight that the words don't go well with the images but they express the similar style described by the reference words once you look close the contexts of the specific poems. The word-vector can analogize the words having the same relations with the ones between the representative words for the core images of the poems. Therefore you can analyze the poems in depth and in variety with the similarity and analogy operations by the word-vector estimated with the statistical SVD or deep-learning CBOW and LSTM methods.
Keywords
Deep-learning; Word-vector; Ki Hyung-do; Similarity; Analogy; Image;
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