R: ngram dan frekuensi-nya: Difference between revisions

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Line 3: Line 3:
  library(tau)  
  library(tau)  
  library(data.table)
  library(data.table)
# given a string vector and size of ngrams this function returns    word ngrams with corresponding frequencies
 


  createNgram <-function(stringVector, ngramSize){
  createNgram <-function(stringVector, ngramSize){
Line 17: Line 17:
  }
  }


#
text <- readtext("out.txt")


  text <- "This is my little R text example and I want to count the frequency of some pattern (and - is - my - of). This is my little R text example and I want to count the frequency of some patter."
  text <- "This is my little R text example and I want to count the frequency of some pattern (and - is - my - of). This is my little R text example and I want to count the frequency of some patter."
Line 22: Line 24:
  res
  res


# sort
res_sort <- res[order(-freq)]
res_sort





Revision as of 01:09, 5 November 2018


library(tau) 
library(data.table)


createNgram <-function(stringVector, ngramSize){
  ngram <- data.table()
  ng <- textcnt(stringVector, method = "string", n=ngramSize, tolower = FALSE)
  if(ngramSize==1){
    ngram <- data.table(w1 = names(ng), freq = unclass(ng), length=nchar(names(ng)))  
  }
  else {
    ngram <- data.table(w1w2 = names(ng), freq = unclass(ng), length=nchar(names(ng)))
  }
  return(ngram)
}
#
text <- readtext("out.txt")
text <- "This is my little R text example and I want to count the frequency of some pattern (and - is - my - of). This is my little R text example and I want to count the frequency of some patter."
res <- createNgram(text, 2)
res
# sort
res_sort <- res[order(-freq)]
res_sort


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