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 ______________________________________________
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