Stuck at LDA process. No results are coming

New Altair Community Member
Updated by Jocelyn
I updated my Rapidminer and from that instant I can not get any result from my LDA process. I am attaching the screenshot for the process and the sub-processes I am trying out for LDA for last 2-3 days but 'NA' as results is showing. Kindly help.








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MartinLiebig

Hi,
can you please check if the collection of documents contains proper documents? I.e there are items in and there is also text?
Best,
Martin


Updated by MartinLiebig
Hi,
is this 'western' text? LDA uses a default tokenization on this tokens like spaces and so on. This may totally fail if this is not in latin alphabet?
Best,
Martin
Hi Martin
The text is in English language. I have run the same samples before also for testing few weeks ago and it worked fine. That time I was using the 8 version of Rapidminer. I am facing this problem from the moment I upgraded to the latest 9 version. I do not think the up gradation of the version would be creating any problem but I am telling you just in case.
The text is in English language. I have run the same samples before also for testing few weeks ago and it worked fine. That time I was using the 8 version of Rapidminer. I am facing this problem from the moment I upgraded to the latest 9 version. I do not think the up gradation of the version would be creating any problem but I am telling you just in case.
Hi @lambamanika07 ,
your file is coded in UTF-8. If you are using windows, you want to change the Encoding of Read Document to UTF-8. Otherwise strange things happend with signs like é.
Further you should use a tokenize operator before your text mining operators. Operators like 'Stem' or 'n-grams' are working on the tokens. This may have duplicated your data.
Lastly: Can you quickly confirm that the number of topics you search is < then the number of documents? If you search for 5 topics in 2 documents, that is doomed to fail.
Best,
Martin
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Hi @lambamanika07 ,
your file is coded in UTF-8. If you are using windows, you want to change the Encoding of Read Document to UTF-8. Otherwise strange things happend with signs like é.
Further you should use a tokenize operator before your text mining operators. Operators like 'Stem' or 'n-grams' are working on the tokens. This may have duplicated your data.
Lastly: Can you quickly confirm that the number of topics you search is < then the number of documents? If you search for 5 topics in 2 documents, that is doomed to fail.
Best,
Martin