What should a machine remember about a person? A protocol for AI memory that models who you are — with confidence, decay, and contradiction tracking.
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Updated
Apr 8, 2026 - Shell
What should a machine remember about a person? A protocol for AI memory that models who you are — with confidence, decay, and contradiction tracking.
This dataset contains the code of the paper entitled Predicting Political Ideology from Linguistic Featuresand Embeddings: An Author Profiling Study onSpanish Politicians’ tweets posted in 2020
A KNIME-based machine learning workflow for psychographic customer segmentation using the K-Means clustering algorithm. This project analyzes survey-based consumer behavior data, groups similar customers into clusters, and generates cluster labels and centroid summaries to support marketing analytics, customer profiling,and business decision-making
AI-powered TikTok analytics platform. Scrapes video data, runs psychographic and virality analysis via Gemini 2.5 Flash, and surfaces purchase intent, emotional spectrum, and cultural intelligence in a custom Streamlit dashboard.
Experimental research identifying when individual differences override consensus judgment. Uses multilevel modeling to pinpoint behavioral tipping points (N=889).
Implementation of AI models to investigate the influence of gender and personality traits on occupational choice, utilizing Machine Learning and Natural Language Processing (NLP) on public Twitter data. Thesis published in the Padua Archive at the link https://hdl.handle.net/20.500.12608/50233
Model AI memory to track user cognition, preferences, and contradictions with confidence and decay
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