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Aligned Neural Topic Model (ANTM) for Exploring Evolving Topics: a dynamic neural topic model that uses document embeddings (data2vec) to compute clusters of semantically similar documents at different periods, and aligns document clusters to represent topic evolution.
Automatically extract skills from HTML job ads to understand their relevance over time. Uses Python, translation, NLP, topic modeling and dynamic topic modeling. Three parts: Translation & Preprocessing, Skill Section Extraction, Skill Analysis.