LDA with topicmodels, how can I see which topics different documents belong to?

Question

I am using LDA from the topicmodels package, and I have run it on about 30.000 documents, acquired 30 topics, and got the top 10 words for the topics, they look very good. B

Answer 1

To see which documents belong to which topic with the highest probability in topic models, simply use:

topics(lda)
 1     2     3     4     5     6     7     8     9    10    11    12 
 60    41    64    19    94    93    12    64    12    33    59    28 
 13    14    15    16    17    18    19    20    21    22    23    24 
 87    19    98    69    61    18    27    18    87    96    44    65 
 25    26    27    28    29    30    31    32    33    34    35    36 
 98    77    19    56    76    51    47    38    55    38    92    96 
 37    38    39    40    41    42    43    44    45    46    47    48 
 19    19    19    38    79    21    17    21    59    24    49     2 
 49    50    51    52    53    54    55    56    57    58    59    60 
 66    65    41    36    68    19    70    50    54    37    27    77 

To see the the topics generated from all the documents, simply use:

terms(lda)
Topic 1      Topic 2      Topic 3      Topic 4      Topic 5 
 "quite"       "food"       "lots"       "come"       "like" 
 Topic 6      Topic 7      Topic 8      Topic 9     Topic 10 
  "ever"     "around"        "bar"      "loved"        "new" 

I hope this answers your question!

External read that may help: http://www.rtexttools.com/1/post/2011/08/getting-started-with-latent-dirichlet-allocation-using-rtexttools-topicmodels.html

Rachel Shuyan Wang