Matrix Factorisation Based Topic Modelling
In the following lecture , we discuss one possible approach for topic modelling using matrix factorisation. Though this technique is not used commonly for topic modelling(in favour of PLSA and LDA), it is interesting to think of alternative ways of solving the same problem, understanding its drawbacks and using that to draw motivation for more sophisticated techniques such as PLSA and LDA.
In the following lectures, you will study two techniques of topic modelling- probabilistic latent semantic analysis (PLSA) and latent dirichlet allocation(LDA).
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