A textual corpus database for the digital humanities.

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.

Explore the Hávamál Interactive Site, an open-source project that combines digital humanities and cultural heritage to present ancient Norse wisdom. Featuring daily stanzas and interactive design, the site highlights themes of Virtue, Folly, and Wisdom while promoting community engagement and cultural preservation through digital storytelling.

Early research applying sentiment analysis to modernist literature (Woolf's To the Lighthouse). Introduces the "distributed heroine" model and middle reading methodology.

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.

Материалы тьюториала на III Московско-тартуской школе

A tool for converting French literary text into S-expression syntax trees for linguistic analysis, with visualization capabilities

Implementation of Distant Reading on Dystopian Literature (2) — Sentiment Analysis and Emotion Classification

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.

Data from Mapping Balzac + Mapping Proust

Implementation of the NACL 2016 Best paper "Unsupervised Learning for Dynamic Fictional Relationships by Iyyer et al"

Jena Corpus of Expository and Fictional Prose; A Corpus of Canonical, Non-Canonical, Non-Fictional Texts

Complexity Analysis of Literary texts using BERT AND RoBERTa

Contains data of the Ficiton4 corpus and for our experiment on literary sentiment evocation

Trope detection using LLaMA: trope - llama

Character Network of Alfred de Musset's play Lorenzaccio

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

This is the final project for my Intro to Data Science (BIOS 611) course. We were tasked with applying data science techniques to a novel data set. I chose to conduct dimensionality reduction of "The Sound and the Fury" by William Faulkner to visualize semantic and temporal differences between narrators

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.