• The Journal of the Convergence on Culture Technology
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• v.10 no.6
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• pp.703-708
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• 2024

LSTM, a deep learning technique for building language models, can be easily trained on systems with small computing resources, unlike large language models. In this paper, we propose a convergent technique to train LSTM-based language models on small-scale texts and perform objective semantic and relational analysis on the main topic words of the text using the word vectors of the vocabulary comprising the text. Using the word vectors of a small language model trained on the English script of the 2021 movie "Green Knight" directed by David Lowery as a text, we proposed a technique that can analyze the meaning and relationship of the main topic words. Through the similarity operation of the word vector, the meaning and symbolism of each theme word can be objectively analyzed with the similarity scores between the words. The relationship between each theme word can be intuitively recognized by displaying the dimensionality-reduced two-dimensional word vector. By using a small-scale language model of the LSTM method, we proposed a method to analyze complex texts using word vectors while minimizing the cost of learning.