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Text mining War and Peace: Automatic extraction of character traits from literary pieces

机译:文本挖掘 战争与和平:从文学作品中自动提取性格特征

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摘要

This article presents a study of Leo Tolstoy's War and Peace by means of automatic syntactic and semantic analysis. Using a parser that extracts syntactic dependencies and semantic roles we were able to compare different characters of the novel in terms of the semantic roles they tend to occupy. Our data show that there are certain dependencies between the apparent personal traits of a character and his or her positions within the predicate structures. We hope that further research will help us gain more insights into the 'literary technique' of Tolstoy and enable us to create a semantic mark-up of his works.
机译:本文通过自动句法和语义分析对列夫·托尔斯泰的《战争与和平》进行了研究。使用提取句法依赖关系和语义角色的解析器,我们能够根据小说中不同角色倾向于占据的语义角色来比较他们。我们的数据表明,一个角色的明显个人特征与他或她在谓词结构中的位置之间存在一定的依赖性。我们希望进一步的研究能帮助我们更深入地了解托尔斯泰的“文学技巧”,并使我们能够为他的作品创建一个语义标记。

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