Hallo,
I have question concerning the Latent Dirichlet Allocation. The results I get
from using it are a bit confusing.
At first I use about 3000 documents. In the preparation with the
CountVectorizrt I use the following parameters : max_df=0.95 and min_df=0.05.
For the LDA fit I use the bath
-learn-general
Betreff: Re: [Scikit-learn-general] Latent Dirichlet Allocation
How many distinct words are in your dataset?
On 27 January 2016 at 00:21, Rockenkamm, Christian
<c.rockenk...@stud.uni-goettingen.de<mailto:c.rockenk...@stud.uni-goettingen.de>>
wrote:
Hallo,
I have questio
Hello,
I have a short question concerning the Latent Dirichlet Allocation in scikit.
Is it possible to acquire the topic-word-matrix and the document-topic-matrix?
If so, could someone please explain to me how to do that?
Best regards,
Christian Rockenkamm
