I am looking for a library/function in R that can compare two phrases and give me a score, or somehow classify them as correct as possible.
The "phrases" are obfuscated/messy. I am not concerned about which is "correct" (for example spell checking), I am only concerned in grouping them so that I know they are the closest match. Example: I have ROW1 and ROW2 like so: ROW1 ROW2 hamburger helper bigmc heartkcatta chicken nuggets chicke, nuggets, jss bigmac heartattack some sombody somehwere somebody somehwere repleh regrubmah I am looking for something that can tell me that the best match for hamburger helper is repleh regrubmah, and the same for each other row. So my goal is to write a program that foreach phrase in ROW1 runs this function against ROW2 and gives me the phrase that scored best. I have read over much of the NLP packages at http://cran.r-project.org/web/views/NaturalLanguageProcessing.html I thought lsa might be a good fit, but I am not sure. I have limited time, so I am hoping someone can point me in a direction of what I am looking for. I have been searching for "text classifiers", perhaps this problem is referred to as something else. Brian ______________________________________________ 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.
