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From Amit Singh Hora <hora.a...@gmail.com>
Subject Spark MLib LDA Example
Date Thu, 14 Apr 2016 11:09:36 GMT
Hi All,

I am very new to Spark-MLib .I am trying to understand and implement Spark
Mlib's LDA algorithm
Goal is to get Topic present documents given and terms with in those topics
.
I followed below link 
https://gist.github.com/jkbradley/ab8ae22a8282b2c8ce33
<https://gist.github.com/jkbradley/ab8ae22a8282b2c8ce33>  

But getting output as
TOPIC 0
morality	0.05220243077220879
being	0.035021580374984436
omniscient	0.022428246152460637
islamic	0.021139857126802202
which	0.017421282572242652
natural	0.012911262664316678
about	0.01268297163653654
article	0.012466817422546324
keith	0.01246464564083541
california	0.01203631230812281

TOPIC 1
article	0.02052394395182315
someone	0.01579814589359546
different	0.014195697566496364
would	0.013759644157873953
human	0.013303732850358341
think	0.013203570748155018
could	0.01318633594470554
saying	0.011956765545346498
there	0.011669522102424768
which	0.011298125680292148

Now i dont understand how to get actual text in place of these TOPIC 1 and
TOPIC 2



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