tm

I have tried the example code recommended in the tm::readPDF documentation : library(tm) if(all(file.exists(Sys.which(c("pdfinfo", "pdftotext"))))) { uri <- system.file(file.path("doc", "tm.pdf"), package = "tm") pdf <- readPDF(PdftotextOptions = "-layout")(elem = list(uri = uri), language = "en", id = "id1") pdf[1:13] } But I get the following error (which occurs after calling the function returned by readPDF ): Error in file(con, "r") : cannot open the connection In addition: Warning message: In file(con, "r") : cannot open file 'C:\DOCUME~1\Tomas\LOCALS~1\Temp\RtmpU33iWo\pdfinfo31c2bd5762a'

I have a file 'check_text.txt' that contains " said say says make made ". I'd like to perform stemming on it to get "say say say make make". I tried to use stemDocument in tm package, as the following, but only get "said say say make made". Is there a way to perform stemming on past tense words? Is it necessary to do so in real-world natural language processing? Thanks! filename = 'check_text.txt' con <- file(filename, "rb") text_data <- readLines(con,skipNul = TRUE) close(con) text_VS <- VectorSource(text_data) text_corpus <- VCorpus(text_VS) text_corpus <- tm_map(text_corpus, stemDocument,

I have a date time string: 20:48:01.469 UTC MAR 31 2016 I would like to convert this string representation of time to a struct tm using strptime , but my format string isn't working. Is there a format specifier for fractional seconds? Perhaps %S , %s , or something else? Code snippet is below: tm tmbuf; const char *str = "20:48:01.469 UTC MAR 31 2016" const char *fmt = "%H:%M:%s %Z %b %d %Y"; strptime(str,fmt,&tmbuf); Using this free, open source C++11/14 library , here is another way to deal with parsing fractional seconds: #include "tz.h" #include <iostream> #include <sstream> int main() {

(Windows 7 / R version 3.0.1) Below the commands and the resulting error: > library(tm) > pdf <- readPDF(PdftotextOptions = "-layout") > dat <- pdf(elem = list(uri = "17214.pdf"), language="de", id="id1") Error in file(con, "r") : cannot open the connection In addition: Warning message: In file(con, "r") : cannot open file 'C:\Users\Raffael\AppData\Local\Temp \RtmpS8Uql1\pdfinfo167c2bc159f8': No such file or directory How do I solve this issue? EDIT I (As suggested by Ben and described here ) I downloaded Xpdf copied the 32bit version to C:\Program Files (x86)\xpdf32 and the 64bit version to C

I am simply trying to create a corpus from Russian, UTF-8 encoded text. The problem is, the Corpus method from the tm package is not encoding the strings correctly. Here is a reproducible example of my problem: Load in the Russian text: > data <- c("Renault Logan, 2005","Складское помещение, 345 м²", "Су-шеф","3-к квартира, 64 м², 3/5 эт.","Samsung galaxy S4 mini GT-I9190 (чёрный)") Create a VectorSource: > vs <- VectorSource(data) > vs # outputs correctly Then, create the corpus: > corp <- Corpus(vs) > inspect(corp) # output is not encoded properly The output that I get is: > inspect(corp) <