Installing coreNLP in R

Question

I\'m following the instructions on this link to use coreNLP https://github.com/statsmaths/coreNLP

However, I found this error

> library(coreNLP)

         


        

Answer 1

After encountering the java.lang.UnsupportedClassVersionError: edu/stanford/nlp/pipeline/StanfordCoreNLP : Unsupported major.minor version 52.0 error message:

You need to

• install java 8, (as superuser),
• change the default jvm the operating system uses to this jvm (* see below),
• run R CMD javareconf on the command line, and then
• set the environment variable LD_LIBRARY_PATH to the directory where libjvm.so is stored.

• restart R / RStudio

• make sure that a swap file (or swap partition) exists on your machine. call free to check if there is a line in the output that starts with swap and the values on that line are not zero.

I use ubuntu, my java 8 libjvm.so is here: /usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/libjvm.so

You can do this in your .Rprofile file. Add this line, perhaps at the bottom of the file:

Sys.setenv(LD_LIBRARY_PATH=paste0(Sys.getenv("LD_LIBRARY_PATH"), ":", "/usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/" ))

When I do this in R:

R> Sys.getenv("LD_LIBRARY_PATH")
[1] "/usr/local/lib64/R/lib:/usr/local/lib64:/usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server:/usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/"
R> library(coreNLP)
R> initCoreNLP()

I get this result:

Searching for resource: config.properties
Adding annotator tokenize
TokenizerAnnotator: No tokenizer type provided. Defaulting to PTBTokenizer.
Adding annotator ssplit
Adding annotator pos
Reading POS tagger model from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [1.1 sec].
Adding annotator lemma
Adding annotator ner
Loading classifier from edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz ... done [5.6 sec].
Loading classifier from edu/stanford/nlp/models/ner/english.muc.7class.distsim.crf.ser.gz ... done [2.1 sec].
Loading classifier from edu/stanford/nlp/models/ner/english.conll.4class.distsim.crf.ser.gz ... done [3.8 sec].
Initializing JollyDayHoliday for SUTime from classpath: edu/stanford/nlp/models/sutime/jollyday/Holidays_sutime.xml as sutime.binder.1.
Reading TokensRegex rules from edu/stanford/nlp/models/sutime/defs.sutime.txt
Reading TokensRegex rules from edu/stanford/nlp/models/sutime/english.sutime.txt
Reading TokensRegex rules from edu/stanford/nlp/models/sutime/english.holidays.sutime.txt
Adding annotator parse
Loading parser from serialized file edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz ... done [0.6 sec].
Adding annotator dcoref
Adding annotator sentiment

R> example(getSentiment)

gtSntmR> getSentiment(annoEtranger) # first Sentence of L'Etranger by A.Camus
  id sentimentValue sentiment
1  1              1  Negative
2  2              2   Neutral

gtSntmR> getSentiment(annoHp) # first Sentence of Harry Potter V1
  id sentimentValue    sentiment
1  1              4 Verypositive

(*) How to see the default jvm on Linux:

update-alternatives --display java

Result

java - auto mode
  link currently points to /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java

To show all available alternatives, use

update-alternatives --list java

Result (on my machine):

/usr/lib/jvm/java-6-openjdk-amd64/jre/bin/java
/usr/lib/jvm/java-7-openjdk-amd64/jre/bin/java
/usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java

Change alternatives:

sudo update-alternatives --set java /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java

Just play a bit with update-alternatives.