PROPP: A Python library for narrative analysis

Harry Potter Character Interaction Networks: Analyzing character relationships, evolution, and narrative dynamics in J.K. Rowling's wizarding world using network science techniques and data from the Harry Potter series. Explore the magic of storytelling through data.

Canonical Adventure Markup Language for RPGs

A pattern analysis report investigating how the “paperclip maximizer” AGI narrative distracts from real-time deployment of human-controlled surveillance systems. Includes documentation, funding trails, suppression tactics, and policy implications.

Local-first pipeline for collecting posts, replies, reposts, and discussion threads across social platforms, then analyzing narratives, stance, support, and propagation.

holiday-narrative-parser processes holiday event narratives to extract themes, tone, and key details for analysis and summarization.

Global Systemic Fragility Observatory 2026 · Markov Model + Monte Carlo · Synthetic Bubble · 10 non-conventional systemic risk indicators · MCSH Framework · semanticfieldscience.org

Expose Rhetorical Dodges: Prompt toolkit vs. performative complexity—refute claims that 'nuance' excuses evading models, stats, or core insights.

Statistical analysis investigating the relationship between information revelation patterns (measured via Kullback-Leibler divergence) and book popularity in English fiction. Features OLS and LASSO regression analysis, genre-specific modeling, and Project Gutenberg metadata analysis.

Adversarial AI engine that reverse-engineers video content to detect narrative manipulation, emotional coercion, and logical fallacies. Powered by Google Gemini 3.

A Python implementation of hybrid Dynamic Topic Models and Large Language Models for detecting narrative shifts in longitudinal text corpora. Enables scalable analysis of media discourse evolution with statistical rigor and LLM-powered semantic interpretation.

A four-pole analytical framework for studying narrative influence, psychological reactance, and information dynamics in communication environments.

Project Focus: Data Sourcing: Dual-stream scraping from Google News and Reddit. Linguistic Sync: Measuring talking past each other via Cosine Similarity. Theme Discovery: Identifying divergent vocabularies with automated stop-word filtering. Actionable Insights: Identifying Grassroots Optimism and Narrative Silos in real-time news cycles.

Speculative, metaphor-driven observation of technological and economic acceleration, using mythological and science-fictional language as an analytical framework.

Research pipeline testing the STRAIN hypothesis: Do TikTok creators reporting EDS, MCAS, POTS, and CIRS actually share a common stress-activated neurogenic phenotype? AI-powered symptom extraction and narrative analysis from social media.

✅ Completed | An ML classifier that distinguishes between imagined, recalled, and retold narratives using linguistic features. Showcases full NLP pipeline from preprocessing to model evaluation.

Group project for the Knowledge Representation and Extraction 2024/25 course.

A multi-lens editorial review system for fiction manuscripts

Constraint-based AI system for verifying character backstory consistency in long-form novels using claim decomposition, evidence retrieval, and causal reasoning.

Extract plotlines from TV synopses using LLMs