Abstract
Images are the soul of poetry. The usage of images enables poetry to express its deepest emotions in very concise expression. While the structured language of poetry bring convenience to computer processing, the accumulation of a large number of images also brings difficulty to deep semantic understanding. Starting from the definition of object imagery, this paper selects 304 Tang poems as experimental samples, extracts the object images from poems. Then it calculates the emotional tendency of object images according to the emotion system. Finally, it calculates the similarity between images to achieve the relevancy between the images and establishes the map of image relationship. This paper presents the relationship between images using visualization methods, which would help poetry learners understand the images intuitively, and provide reference for correlation study of Tang poetry.
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Acknowledgments
This work is supported by the Fundamental Research Funds for the Central Universities, National Language Committee Research Program of China (No. ZDI135-42), National Social Science Fund of China (No. 18CYY029) and The Ministry of Education Humanities and Social Science Project (No. 18YJAZH112).
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Wang, B., Hu, R., Yang, L. (2019). Constructing the Image Graph of Tang Poetry. In: Tang, J., Kan, MY., Zhao, D., Li, S., Zan, H. (eds) Natural Language Processing and Chinese Computing. NLPCC 2019. Lecture Notes in Computer Science(), vol 11839. Springer, Cham. https://doi.org/10.1007/978-3-030-32236-6_38
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DOI: https://doi.org/10.1007/978-3-030-32236-6_38
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