Dynamic Topic Models are used to model the evolution of topics in a corpus, over time. The Dynamic Topic Model is part of a class of probabilistic topic models, and unlike the previous models developed, takes into account time-series data. The idea behind this project proposal is to implement Dynamic Topic Models while taking care of Gensim's philosophy of being memory-independent and robust.

Organization

Student

bhargavvader

Mentors

  • lev.konst
  • Radim
  • Devasena Inupakutika
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2016