Re: Does newly-released LDA (Latent Dirichlet Allocation) algorithm supports ngrams?

2015-03-19 Thread Charles Earl
Heszak,
I have only glanced at it but you should be able to incorporate tokens
approximating n-gram yourself, say by using the lucene
ShingleAnalyzerWrapper API
http://lucene.apache.org/core/4_9_0/analyzers-common/org/apache/lucene/analysis/shingle/ShingleAnalyzerWrapper.html
You might also take a glance at http://www.mimno.org/articles/phrases/
C

On Wed, Mar 18, 2015 at 5:37 PM, heszak hzakerza...@collabware.com wrote:

 I wonder to know whether the newly-released LDA (Latent Dirichlet
 Allocation)
 algorithm only supports uni-gram or it can also supports bi/tri-grams too?
 If it can, can someone help me how I can use them?



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Does newly-released LDA (Latent Dirichlet Allocation) algorithm supports ngrams?

2015-03-18 Thread heszak
I wonder to know whether the newly-released LDA (Latent Dirichlet Allocation)
algorithm only supports uni-gram or it can also supports bi/tri-grams too?
If it can, can someone help me how I can use them?



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