BiblioEngine Algorithm Specification v1.0
Abstract
File Manifest & Data Structure This repository contains the core theoretical framework and verification datasets for BiblioEngine. 1. BiblioEngine.pdf (Main Paper) The academic paper defining the "Ghost" extraction logic and the "Art as Infrastructure" philosophy. It outlines the mathematical transformation from literary text to vector space. 2. Algorithm Specification.pdf (Protocol) The complete operational protocol for the inference engine. It details the definitions of the 14-dimensional parameters (Physical, Psychological, Relational) and the classification standards for emotions (Plutchik/Berkeley 27 models). This document serves as the "Rulebook" for the system. 3. rashoumon.csv (Verification Dataset) A raw output sample generated by BiblioEngine v1.0, analyzing "Rashomon" (1915) by Ryunosuke Akutagawa. Target: Full text analysis (~3,000 chars). Columns: 14 parameters + Ghost deviations ($P_{ghost}$) + Metadata. Note: This dataset demonstrates how "literary ambiguity" is quantified into the p_ghost parameter, serving as proof of concept for the stochastic variance logic described in the paper.
Fields of Study & Subjects
Digital Humanities and Scholarship
Computational and Text Analysis Methods
Sentiment Analysis and Opinion Mining
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 17 January 2026
- Language
- EN
- Document type
- Dataset