PROPP: A Python library for narrative analysis
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Updated
Jan 19, 2026 - HTML
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.
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.
holiday-narrative-parser processes holiday event narratives to extract themes, tone, and key details for analysis and summarization.
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.
✅ Completed | An ML classifier that distinguishes between imagined, recalled, and retold narratives using linguistic features. Showcases full NLP pipeline from preprocessing to model evaluation.
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.
Adversarial AI engine that reverse-engineers video content to detect narrative manipulation, emotional coercion, and logical fallacies. Powered by Google Gemini 3.
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.
🎄 Extract structured insights from holiday narratives with this lightweight Python parser, enhancing your storytelling and analysis capabilities.
🧩 Diagnose and counter Performative Complexity in AI discourse with this framework, enhancing clarity and fostering genuine intellectual engagement.
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