A Comparative Study to Understanding about Poetics Based on Natural Language Processing

Lingyi Zhang; Junhui Gao

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A Comparative Study to Understanding about Poetics Based on Natural Language Processing

机译：基于自然语言处理的诗学理解的比较研究

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This paper tries to find out five poets’ (Thomas Hardy, Wilde, Browning, Yeats, and Tagore) differences and similarities through analyzing their works on nineteenth Century by using natural language understanding technology and word vector model. Firstly, we collect enough poems from these five poets, build five corpus respectively, and calculate their high-frequency words, by using Natural Language Processing method. Then, based on the word vector model, we calculate the word vectors of the five poets’ high-frequency words, and combine the word vectors of each poet into one vector. Finally, we analyze the similarity between the combined word vectors by using the hierarchical clustering method. The result shows that the poems of Hardy, Browning, and Wilde are similar; the poems of Tagore and Yeats are relatively close—but the gap between the two is relatively large. In addition, we evaluate the stability of our approach by altering the word vector dimension, and try to analyze the results of clustering in a literary (poetic) perspective. Yeats and Tagore possessed a kind of mysticism poetics thought, while Hardy, Browning, and Wilde have the elements of realism combined with tragedy and comedy. The results are similar comparing to those we get from the word vector model.

机译：本文通过使用自然语言理解技术和文字矢量模型，通过分析其在十九世纪的作品来了解五个诗人（托马斯哈迪，野羊，褐色，果仁削刃，谷物，谷物，谷，而且相似之处。首先，我们通过使用自然语言处理方法来收集来自这五个诗人的足够诗，分别构建五个语料库，并计算其高频词。然后，基于单词矢量模型，我们计算五个诗人的高频词的单词向量，并将每个诗人的单词向量组合到一个向量中。最后，我们通过使用分层聚类方法分析组合词向量之间的相似性。结果表明，耐寒，褐变和野羊的诗歌是相似的;塔鲁戈和叶片的诗歌相对较近 - 但是两者之间的间隙相对较大。此外，我们通过改变单词传染媒体维度来评估我们的方法的稳定性，并尝试在文学（诗意）视角下分析聚类结果。 Yeats和Tabore拥有一种神秘主义的诗学思想，而耐寒，褐变和威尔德有现实主义的元素与悲剧和喜剧结合。结果与我们从Word Vector模型中获得的结果相似。

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《Open Journal of Modern Linguistics》 |2017年第5期|共9页
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Lingyi Zhang; Junhui Gao;
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A Comparative Study to Understanding about Poetics Based on Natural Language Processing

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