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topic model and change-point detection

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Dynamic embedded topic models and change-point detection for exploring literary-historical hypotheses

Sirin, Hale, Lippincott, Tom

arXiv.org Artificial IntelligenceJan-24-2024

We present a novel combination of dynamic embedded topic models and change-point detection to explore diachronic change of lexical semantic modality in classical and early Christian Latin. We demonstrate several methods for finding and characterizing patterns in the output, and relating them to traditional scholarship in Comparative Literature and Classics. This simple approach to unsupervised models of semantic change can be applied to any suitable corpus, and we conclude with future directions and refinements aiming to allow noisier, less-curated materials to meet that threshold.

artificial intelligence, natural language, topic model and change-point detection, (14 more...)

arXiv.org Artificial Intelligence

2401.13905

Country:

Asia > Middle East > Jordan (0.04)
Africa (0.04)

Genre: Research Report (0.64)

Technology: Information Technology > Artificial Intelligence > Natural Language > Discourse & Dialogue (0.72)

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