Automatic Construction and Visualization of the Social Network Graphs of Literary Works

Student: Maksimov Konstantin

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2019

In the context of the rapid adaptation of Language Technologies in the digital humanities domain more and more NLP tasks can be solved in automatic way. In particular, this paper considers a specific issue, namely extraction of social networks from literary texts. Here we continue to work on the approach utilizing word embedding tools to handle the aforementioned problem. We compare the results obtained in the earlier study with the outcomes of the two new language representation models ELMo and BERT. The contribution of the present research involves the consideration of human-friendly methods of social networks visualization with representation of additional information about characters. Furthermore, we propose a way to display changes in the character relations regarding to the timeline.

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