On 13/11/2018 12:31, Elahe chalabi wrote:
> Hi Robert,
>
> Thanks for your reply but your code returns the number of verbs in each
massage. What I want is a string showing verbs in each massage.
>
The output of my code (below) is:
# A tibble: 4 x 2
? DocumentID verbs
?????? <int> <chr>
1???? 478920 has|been|updated
2???? 499497 explained
3???? 510133 it
4???? 930234 Thank
Is this not what you wanted?
Rgds,
Robert
> On Wednesday, November 7, 2018 7:31 AM, Robert David Burbidge
<robertburbidgedata at yahoo.co.uk> wrote:
>
>
>
> Hi Elahe,
> You could modify your count_verbs function from your previous post:
> * use scan to extract the tokens (words) from Message
> * use your previous grepl expression to index the tokens that are
verbs
> * paste the verbs together to form the entries of a new column.Here is
one solution:
>
> library(openNLP)
> library(NLP)
>
> df <- data.frame(DocumentID = c(478920L, 510133L, 499497L, 930234L),
> Message = structure(c(4L, 2L, 3L, 1L), .Label =
c("Thank you very much for your nice feedback.\n",
>
"THank you, added it", "Thanks for the well explained
article.",
>
"The solution has been updated"), class = "factor"))
>
>
> dput(df)
>
> tagPOS <- function(x, ...) {
> s <- as.String(x)
> if(s=="") return(list())
> word_token_annotator <- Maxent_Word_Token_Annotator()
> a2 <- Annotation(1L, "sentence", 1L, nchar(s))
> a2 <- annotate(s, word_token_annotator, a2)
> a3 <- annotate(s, Maxent_POS_Tag_Annotator(), a2)
> a3w <- a3[a3$type == "word"]
> POStags <- unlist(lapply(a3w$features, `[[`, "POS"))
> POStagged <- paste(sprintf("%s/%s", s[a3w], POStags),
collapse = " ")
> list(POStagged = POStagged, POStags = POStags)
> }
>
> verbs <-function(x) {
> tagPOSx <- tagPOS(x)
> scanx <- scan(text=as.character(x), what="character")
> n <- length(scanx)
> paste(scanx[(1:n)[grepl("VB", tagPOSx$POStags)]],
collapse="|")
> }
>
> library(dplyr)
>
> df %>% group_by(DocumentID) %>% summarise(verbs = verbs(Message))
>
<<<<<<<<<<<<<<<<<<<<<
>
> I'll leave it to you to extract a column of verbs from the result
> and rbind it to the original data.frame.
>
> Btw, I don't this solution is efficient, I would guess that the
> processing that scan does in the verbs function is duplicating
> work already done in the tagPOS function by annotate, so you may
> want to return a list of tokens from tagPOS and use that instead
> of scan.
>
> Rgds,
> Robert
>
>
> On 06/11/18 10:26, Elahe chalabi via R-help wrote:
>
> Hi all, In my df I would like to generate a new column which contains a
string showing all the verbs in each row of df$Message.
>> library(openNLP) library(NLP) dput(df) structure(list(DocumentID =
c(478920L, 510133L, 499497L, 930234L ), Message = structure(c(4L, 2L, 3L, 1L),
.Label = c("Thank you very much for your nice feedback.\n",
"THank you, added it", "Thanks for the well explained
article.", "The solution has been updated"), class =
"factor")), class = "data.frame", row.names = c(NA, -4L))
tagPOS <- function(x, ...) { s <- as.String(x) word_token_annotator <-
Maxent_Word_Token_Annotator() a2 <- Annotation(1L, "sentence", 1L,
nchar(s)) a2 <- annotate(s, word_token_annotator, a2) a3 <- annotate(s,
Maxent_POS_Tag_Annotator(), a2) a3w <- a3[a3$type == "word"]
POStags <- unlist(lapply(a3w$features, `[[`, "POS")) POStagged
<- paste(sprintf("%s/%s", s[a3w], POStags), collapse = "
") list(POStagged = POStagged, POStags = POStags) } Any help? Thanks in
advance! Elahe ______________________________________________ R-help at
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