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Hi Paul, Sounds like you have your answer, but for fun I thought I'd try solving your problem using only a regular expression query and base R. I believe this works: > txt <- "Patient had stage IV breast cancer. Nothing matches this sentence. Metastatic and breast match this sentence. French bike champion takes stage IV victory in Tour de France." > pattern <-

Hi Robert, Thank you for your reply. An attempt to solve this via a regular expression query is particularly helpful. Unfortunately, I don't have much time to play around with this just now. Ultimately though, I think I would like to implement a solution something along the lines of what you have done. I have a book on regular expressions that I am now starting to read. In the meantime, the

Hi Bert, Thanks for your reply. It appears that I didn't replace the variable name "sampletxt" with the argument "x" in my function. I've corrected that and now my code seems to be working fine. Paul ________________________________ From: Bert Gunter <bgunter.4567 at gmail.com> Cc: R-help <r-help at r-project.org> Sent: Tuesday, July 11, 2017 2:00 PM

Hello All, I need some help figuring out how to extract combinations of target words/terms from cancer patient text medical records. I've provided some sample data and code below to illustrate what I'm trying to do. At the moment, I'm trying to extract sentences that contain the word "breast" plus either "metastatic" or "stage IV". It's been some

Hi Paul, No need to collapse the information into a single text string, gregexpr() can take a vector of strings (sentences in your case). You can split your sentences up, number them how you want, then search for your pattern either via regex or via these extra packages you use which probably use the PCRE regex library anyway. However, as this is basically what you did, I'm not sure why

Have you looked at the CRAN Natural Language Processing Task View? If not, why not? If so, why were the resources described there inadequate? Bert On Jul 11, 2017 10:49 AM, "Paul Miller via R-help" <r-help at r-project.org> wrote: > Hello All, > > I need some help figuring out how to extract combinations of target > words/terms from cancer patient text medical

Hi guys, I'm a new to R and following along with Tutorials using this book: http://www.amazon.com/Practical-Statistical-Analysis-Non-structured-Applications/dp/012386979X In one of them, they use the twitteR package and describe the following function (see below). From what I can tell from the documentation (R), there's a method to call it directly in an interactive session. The way

Hi, I am new to R. I have a bit of data looking like this: SemType, Length GeoLocation, Sentence GeneralInfo, Paragraphs GeneralInfo, Paragraphs GeneralInfo, Sentence GeneralInfo, Paragraphs NatLang, Phrase Advice, Article GeneralInfo Advice, Article Resource, Sentence ... (roughly 40,000 lines in total) I am interested in how many counts of each item in the second row I get for each item in

hello, I want to know ..how we can separate the sentence after finding a particular word... for example I love to watch movies of Hollywood but should not be romantic...I want to join you school but due to bad financial condition I cant.. I want output in following format I love to watch movies of Hollywood should not be romantic I want to join you school due to bad financial condition I cant

Hi, I have been working on developing Link Grammar interface, so as to use POS tagging while indexing the documents. The interface header as well as implementation file have been completed and you can view them at < https://github.com/sehaj-sk/xapian/commit/052d634e1986bcf5607e43f52ac3e07646920196> and <

Dear all, I'm quite new in R and I have a problem with the function which. When I use it to select a subset of a dataframe it works well but somewhere R takes trace of the past dataframe and this creates problems with following operations. For example: sentences <- read.xls("frasi.tot.march.3.xls", header=TRUE) head(sentences) fam subjID Cond Code reg total first

Hi Steven, Thank you for the help. I get an error though when i do this : >lit<-read.csv("litologija.csv", sep=";", dec=".") >sent <-data.frame(sentence=lit$Opis,stringsAsFactors=FALSE) >str(sent) >sentV<-rep(sent,10) >str(sentV) >first=second=third=fourth=fifth=sixth=seventh=eighth=ninth=tenth<-vector(length=10) >DF

On Thu, Feb 27, 2014 at 01:11:24PM +0530, karthik iyer wrote: > So my idea goes like this. Basically I have been working on Question > Answering systems. I developed a QA system for "when" type questions (sorry > I cant provide the source code at the moment because my paper is under > review at SIGIR 2014). I used the part-of-speech and developed a weighted > scoring

This topic refer to independent variables reduction, as we know ,a lot of method can do with it,however, for pre-processing independent varibles, a method like the sentence below can reduce many variable, How can I understand it? what is significant correlation at 5% level, what is the criterion? P value?or what? "Independent variables whose correlation with the response variable was not

Hi, I am a COBOL programmer and I am busy teaching myself Rails and Ruby. In COBOL I can code this conditional If x = 1 next sentence else .......................... The "next sentence" statement enables me to get out of the conditional. How would I code the same thing in Ruby? In C you could use break but I understand that Ruby has no break statement. Regards, Paul

Hallo all! Know somebody, if exist Dialplan commands (specifically sql sentences) for Asterisk Realtime? For example: I have users defined in mysql database. In the dialplan, I would like to select one field of a table. select email from sip_buddies where name=200 I try to use DBget, but I have error. I think because DBget use intern Database, and can 't connect to mysql. (Sintaxis:

The Letor project involves descent amount of Machine Learning while all the ranking related projects are around IR. Its better to introduce your idea on mailing list where all the mentors can have a detailed look at it, potential mentors can respond and the idea is kind of registered under your name. Cheers, Parth. On Wed, Feb 26, 2014 at 10:20 AM, Olly Betts <olly at survex.com> wrote:

Hi?all friends, Please help me understand this sentence below: ?From this set, 858 columns not significantly correlated with the response variable TBG at the 5% level were removed, leaving a set of 390 columns.? and ? the F-test's value for the one-parameter correlation with the descriptor is below 1.0? is equal?? I want to perform this above sentence with R, how can I do? I just try

Hi there, I'm facing the decision if it would be possible to transform several more or less complex pdf files into an R Table-Format or if it has to be done manually. I think it would be a impudent to expect a complete solution, but I would be grateful if anyone could give me an advice on how the structure of such a R-program could look like, and if it's possible in general. Here

I am running the following code on a MacBook Pro 17" Unibody early 2009 with 8GB RAM, OS X 10.5.8, R 2.10.0 Patch from Nov. 2, 2009, in 64-bit mode. freq.stopwords <- numeric(0) freq.nonstopwords <- numeric(0) token.tables <- list(0) i.ss <- c(0) cat("Beginning at ", date(), ".\n") for (i.d in 1:length(tokens)) { tt <- list(0) for (i.s in