Changes between Version 5 and Version 6 of private/NlpInPracticeCourse/TopicModelling

Timestamp:

Nov 3, 2015, 9:23:52 PM (8 years ago)

Author:

ymaterna

Comment:

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private/NlpInPracticeCourse/TopicModelling

@@ -17 +17 @@
 In this session we will use [[http://radimrehurek.com/gensim/|Gensim]] to model latent topics of Wikipedia documents. We will focus on Latent Semantic Analysis and Latent Dirichlet Allocation models.
 
-1.  Download and extract the corpus of Czech Wikipedia documents:  [[htdocs:bigdata/wiki.tar.bz2|wiki corpus]].
+1. Download and extract the corpus of Czech Wikipedia documents:  [[htdocs:bigdata/wiki.tar.bz2|wiki corpus]].
+
+1. Train LSA and LDA models of the corpus for various numbers of topics using Gensim. You can use this template: 
+
+1. For both the LSA and LDA select the best best models    
 
 Students will also be required to generate some results of their work and hand them in to prove completing the tasks.