adjacent to the decision weights tab in the same data source step is a target priors tab for just that. ... View more

Thanks Edoardo, so relevant these days as data keeps getting bigger...  ... View more

Thats normal if you are running SAS Studio University Edition, and I don't think you can change that. If not, that's a problem. ... View more

if you have an academic at your university who teaches with SAS they might have registered one or more courses using AWS-cloud based SAS OnDemand for Academics, and depending on the course it might include SAS OnDemand Enterprise Miner with the text miner add-on. An instructor can upload your data and as a registered OnDemand student you could use the Text Miner. ... View more

break the single document up into several hundred document files in a folder, each with just one paragraph per document, then import the corpus with the SAS Enterprise Miner text miner text import node, then process the corpus with a text topic node, creating one of more user defined topics based on your keywords. The exported SAS dataset will have a row for each paragraph with an interval measure topic score and a binary presence/absence for each topic added. ... View more

Can you use SAS Enterprise Miner? If so, you can inspect the code generated behind text topic and text cluster nodes to get the code you need. ... View more

to cluster documents in text miner it is best to generate text topics either supervised, unsupervised or a mixture depending on your corpus context and subject matter expertise then cluster documents based on those topics. ... View more

to the best of my knowledge:   1. SVD 2. therefore either rotated or unrotated eigenvectors, depending on 'allow correlated topics' node property setting 3. no, the topics are somewhat correlated whilst within-vector variance is minimised, which in turn increases the likelihood of a human interpreting the topic theme with a more relevant, grammatical phrase, based on the most influential topic terms.   If I'm wrong, I'd appreciate a correction. ... View more

Are you using the SAS-cloud based On Demand for Academics Enterprise MIner, or a local SAS Enterprise Miner without the add-on text miner licence? Either of those would explain it. You need a local or enterprise SAS Enterprise Miner installation with the add-on text miner licenced to support the url web crawling method of text importing. In my university some staff and phd students have those types of SAS Enterprise Miner installations and when we want to teach text mining using web crawl text importing we use one of those installations to import the text, export it to a single csv file and upload it to SAS OnDemand cloud course folders using SAS On Demand Studio. If you are a student or academic and don't have a local or enterprise installation with hte text monier add on licence, maybe one of the community who does could crawl your url specification for you and send you the exported text file. Be prepared for some transcoding problems when you do that. The local and enterprise encoding is usually windows wlatin, and the OnDemand and url source encoding is typically utf-8 so somtimes fields have to be dropped as the transcoding hangs.  ... View more

Wow, I've often wasted my time looking in vain for suitable datasets to use for motivating marketing analysis case studies in my university teaching, but prospecting through this collection has really got me some great hits in a fairly short time. I'm really impressed and grateful to SAS and the community for curating this. Well Done (SAS) U! ... View more

Hi Ivm, I agree with your point when there are plenty of repeated observations in each subject cluster, either as discrete observations or via a frequency variable in the data. At least one other of our highly esteemed and luminary community members also agrees with you.  However where this is not always the case, to quote http://support.sas.com/documentation/cdl/en/statug/66859/HTML/default/viewer.htm#statug_glimmix_details13.htm " ... In this case, provided that the constant is large, the Laplace approximation to the marginal log likelihood is " I researched what is considered 'large' and found some surprising opinions - like 30(!) so I compared some of my own models, and found, to my relief, that 3-4 repeated measures did indeed indicate the laplace method was preferred. I'm now not so sure about precision of the LL approximation when there are fewer measures per subject cluster. Has anybody else noticed thought about this? Cheers. Damien ... View more