Information Extraction for Modelling Screenplay Evolution of Star Wars Fiction

Student: Pozhidaeva Marina

Educational Programme: Computational Linguistics (Master)

Year of Graduation: 2020

This work is an attempt towards more automatic fictional network analysis using graphs and embedding architecture called graph2vec. We use data from 353 Star Wars books, separated by screenplay dates and series types (novels, short stories, Legends and Canon etc.).

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