# Topic modeling with BERT, LDA and Clustering. Latent Dirichlet Allocation(LDA) probabilistic topic assignment and pre-trained sentence embeddings from BERT/RoBERTa.
Could you please advise on how to obtain the potential values of the clusters? We applied the code to our dataset and got numerical outputs for the vocabulary in each cluster. How can we translate these numbers into meaningful values?
Is there a specific research paper that inspired the integration of these two algorithms?
Could you please advise on how to obtain the potential values of the clusters? We applied the code to our dataset and got numerical outputs for the vocabulary in each cluster. How can we translate these numbers into meaningful values? Is there a specific research paper that inspired the integration of these two algorithms?
Thanks LDA+BERT.txt