To download the R library and corresponding CoreNLP java library, run the following in R:
devtools::install_github("statsmaths/coreNLP")
coreNLP::downloadCoreNLP()Then, in order to run the package, the following code initializes rJava correctly (if run from the same directory as the above):
library(coreNLP)
initCoreNLP()As a simple example of usage, this how to annotate the opening lines to "The Cat in the Hat":
catInHat = c("the sun did not shine.", "it was too wet to play.",
"so we sat in the house all that cold, cold, wet day.")
output = annotateString(catInHat)Which gives the following information via getToken, getDependency and getSentiment:
> getToken(output)[,c(1:3,6:7)]
sentence word lemma POS NER
1 1 the the DT O
2 1 sun sun NN O
3 1 did do VBD O
4 1 not not RB O
5 1 shine shine VB O
6 1 . . . O
7 2 it it PRP O
8 2 was be VBD O
9 2 too too RB O
10 2 wet wet JJ O
11 2 to to TO O
12 2 play play VB O
13 2 . . . O
14 3 so so IN O
15 3 we we PRP O
16 3 sat sit VBD O
17 3 in in IN O
18 3 the the DT O
19 3 house house NN O
20 3 all all DT O
21 3 that that DT O
22 3 cold cold JJ O
23 3 , , , O
24 3 cold cold JJ O
25 3 , , , O
26 3 wet wet JJ O
27 3 day day NN DURATION
28 3 . . . O
> getDependency(output)
sentence governor dependent type governorIdx dependentIdx
1 1 ROOT shine root 0 5
2 1 sun the det 2 1
3 1 shine sun nsubj 5 2
4 1 shine did aux 5 3
5 1 shine not neg 5 4
6 2 ROOT wet root 0 4
7 2 wet it nsubj 4 1
8 2 wet was cop 4 2
9 2 wet too advmod 4 3
10 2 play to aux 6 5
11 2 wet play xcomp 4 6
12 3 ROOT sat root 0 3
13 3 sat so dep 3 1
14 3 sat we nsubj 3 2
15 3 sat in prep 3 4
16 3 house the det 6 5
17 3 in house pobj 4 6
18 3 sat all tmod 3 7
19 3 day that det 14 8
20 3 day cold amod 14 9
21 3 day cold amod 14 11
22 3 day wet amod 14 13
23 3 all day dep 7 14
> getSentiment(output)
id sentimentValue sentiment
1 1 1 Negative
2 2 1 Negative
3 3 1 Negative