A tool for extracting chapters from Gutenberg Project Italian raw text e-books. RegEx are used to match chapter headings and extract the text between them.
This is a "literary style imitation algorithm". The primary purpose is to mimic the style and tone of the original text. It creates new content based on the input text rather than directly copying existing content. It uses Markov chains for sentence generation and the ChatGPT-API for grammar cleanup.
Implementation of the NACL 2016 Best paper "Unsupervised Learning for Dynamic Fictional Relationships by Iyyer et al"
Contains data of the Ficiton4 corpus and for our experiment on literary sentiment evocation
Character Network of Alfred de Musset's play Lorenzaccio
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