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.

This repository contains the source code for The Postmodern Generator, a tool designed to generate text that mimics the style of academic postmodern criticism. It offers customizable and extensible text generation features without relying on large language models.

Turn poems into living music: NLP meets melody, creative code, and literary alchemy.

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

Stylometric Measurements on Gutenberg Corpora

Gibson encoded cognitive mismatch in 1984, before the vocabulary existed to name it — a forensic, experiential reading of Neuromancer.

Trope Miner — a local, privacy-first pipeline that mines narrative tropes from fiction using embeddings + LLMs, with review UI, span verification, semantic seeding, and calibration.

Character Network of Alfred de Musset's play Lorenzaccio