I have a vector of either regular words ("activated") or wildcard words ("activat*"). I want to:
1) Count the number of times each word appears in a given text (i.e., if "activated" appears in text, "activated" frequency would be 1).
2) Count the number of times each word wildcard appears in a text (i.e., if "activated" and "activation" appear in text, "activat*" frequency would be 2).
I'm able to achieve (1), but not (2). Can anyone please help? thanks.
library(tm)
library(qdap)
text <- "activation has begun. system activated"
text <- Corpus(VectorSource(text))
words <- c("activation", "activated", "activat*")
# Using termco to search for the words in the text
apply_as_df(text, termco, match.list=words)
# Result:
# docs word.count activation activated activat*
# 1 doc 1 5 1(20.00%) 1(20.00%) 0
Is it possible that this might have to do something with the versions? I ran the exact same code (see below) and got what you expected
> text <- "activation has begunm system activated"
> text <- Corpus(VectorSource(text))
> words <- c("activation", "activated", "activat")
> apply_as_df(text, termco, match.list=words)
docs word.count activation activated activat
1 doc 1 5 1(20.00%) 1(20.00%) 2(40.00%)
Below is the output when I run R.version()
. I am running this in RStudio Version 0.99.491 on Windows 10.
> R.Version()
$platform
[1] "x86_64-w64-mingw32"
$arch
[1] "x86_64"
$os
[1] "mingw32"
$system
[1] "x86_64, mingw32"
$status
[1] ""
$major
[1] "3"
$minor
[1] "2.3"
$year
[1] "2015"
$month
[1] "12"
$day
[1] "10"
$`svn rev`
[1] "69752"
$language
[1] "R"
$version.string
[1] "R version 3.2.3 (2015-12-10)"
$nickname
[1] "Wooden Christmas-Tree"
Hope this helps