R-based text analytics project that uses LDA topic modeling, pairwise word correlations, and logistic regression to recover hidden essay prompts and explore AI-versus-human authorship patterns.

Multi-tiered NLP authorship detection: distinguishing Victorian prose from AI-generated text using handcrafted features, embeddings, and DistilBERT+LoRA with explainability and adversarial testing.