Dynamic Topic Modeling
2 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
Exploring the Political Agenda of the European Parliament Using a Dynamic Topic Modeling Approach
To unveil the plenary agenda and detect latent themes in legislative speeches over time, MEP speech content is analyzed using a new dynamic topic modeling method based on two layers of Non-negative Matrix Factorization (NMF).
ANTM: An Aligned Neural Topic Model for Exploring Evolving Topics
This overlapping sliding window algorithm identifies a different number of topics within each time frame and aligns semantically similar document clusters across time periods.
