Hi all, i am trying to do some text mining in R. So far I managed to do some text mining like TermDocumentMatrices and word count and similiar things.
What I would like to do is this : I have a soil descriptions from borehole logs that corresponds to soil classes. The problem is that some of this classes are wrongly classified. What i did is i made DocumenstTermMatrices for each of the class. So now i would like to use some king of statistical method to determine to which of the classes they actually belong. Hope that explains it. Any help of info would be grately appreciated, matevz -- View this message in context: http://r.789695.n4.nabble.com/Text-mining-analysis-methods-tp3774283p3774283.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
