Writing sentiment analysis results to XML

[alexweissman]

I'm having trouble figuring out how to get the sentiment analysis tool to output as an XML file when run from the command line. When I run the command provided on http://www-nlp.stanford.edu/sentiment/code.html it works fine but only outputs plain text:

Adding annotator tokenize

Adding annotator ssplit

Adding annotator parse

Loading parser from serialized file edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz ... done [1.3 sec].

Adding annotator sentiment

This is so great.

  Very positive

It was okay I guess.

  Neutral

However if I try to run the full CoreNLP tool with the sentiment annotator, like such:

java -cp stanford-corenlp-full-2013-11-12/stanford-corenlp-3.3.0.jar:stanford-corenlp-full-2013-11-12/stanford-corenlp-3.3.0-models.jar:stanford-corenlp-full-2013-11-12/xom.jar:stanford-corenlp-full-2013-11-12/joda-time.jar:stanford-corenlp-full-2013-11-12/jollyday.jar -Xmx3g edu.stanford.nlp.pipeline.StanfordCoreNLP -annotators tokenize,ssplit,parse,sentiment -file  ./tweets/tweet1.txt

I get the following error:

Exception in thread "main" java.lang.NoClassDefFoundError: org/ejml/simple/SimpleBase

    at edu.stanford.nlp.pipeline.SentimentAnnotator.<init>(SentimentAnnotator.java:45)

    at edu.stanford.nlp.pipeline.StanfordCoreNLP$14.create(StanfordCoreNLP.java:845)

    at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:81)

    at edu.stanford.nlp.pipeline.StanfordCoreNLP.construct(StanfordCoreNLP.java:260)

    at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:127)

    at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:123)

    at edu.stanford.nlp.pipeline.StanfordCoreNLP.main(StanfordCoreNLP.java:1430)

Caused by: java.lang.ClassNotFoundException: org.ejml.simple.SimpleBase

    at java.net.URLClassLoader$1.run(URLClassLoader.java:202)

    at java.security.AccessController.doPrivileged(Native Method)

    at java.net.URLClassLoader.findClass(URLClassLoader.java:190)

    at java.lang.ClassLoader.loadClass(ClassLoader.java:306)

    at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301)

    at java.lang.ClassLoader.loadClass(ClassLoader.java:247)

    ... 7 more

If I run the command without the sentiment annotator, it works fine but of course I can't get any sentiment results.

I should also mention that I am running everything wrapped inside a Python subprocess.Popen() call, since the rest of our project is written in Python.

[AngledLuffa]

Need to include the ejml library in your classpath

On Sun, Dec 29, 2013 at 12:34 PM, Alex Weissman notifications@github.comwrote:

I'm having trouble figuring out how to get the sentiment analysis tool to output as an XML file when run from the command line. When I run the command provided on http://www-nlp.stanford.edu/sentiment/code.html it works fine but only outputs plain text:

Adding annotator tokenize

Adding annotator ssplit

Adding annotator parse

Loading parser from serialized file edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz ... done [1.3 sec].

Adding annotator sentiment

This is so great.

Very positive

It was okay I guess.

Neutral

However if I try to run the full CoreNLP tool with the sentiment annotator, like such:

java -cp stanford-corenlp-full-2013-11-12/stanford-corenlp-3.3.0.jar:stanford-corenlp-full-2013-11-12/stanford-corenlp-3.3.0-models.jar:stanford-corenlp-full-2013-11-12/xom.jar:stanford-corenlp-full-2013-11-12/joda-time.jar:stanford-corenlp-full-2013-11-12/jollyday.jar -Xmx3g edu.stanford.nlp.pipeline.StanfordCoreNLP -annotators tokenize,ssplit,parse,sentiment -file ./tweets/tweet1.txt

I get the following error:

Exception in thread "main" java.lang.NoClassDefFoundError: org/ejml/simple/SimpleBase

at edu.stanford.nlp.pipeline.SentimentAnnotator.<init>(SentimentAnnotator.java:45)

at edu.stanford.nlp.pipeline.StanfordCoreNLP$14.create(StanfordCoreNLP.java:845)

at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:81)

at edu.stanford.nlp.pipeline.StanfordCoreNLP.construct(StanfordCoreNLP.java:260)

at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:127)

at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:123)

at edu.stanford.nlp.pipeline.StanfordCoreNLP.main(StanfordCoreNLP.java:1430)

Caused by: java.lang.ClassNotFoundException: org.ejml.simple.SimpleBase

at java.net.URLClassLoader$1.run(URLClassLoader.java:202)

at java.security.AccessController.doPrivileged(Native Method)

at java.net.URLClassLoader.findClass(URLClassLoader.java:190)

at java.lang.ClassLoader.loadClass(ClassLoader.java:306)

at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301)

at java.lang.ClassLoader.loadClass(ClassLoader.java:247)

... 7 more

If I run the command without the sentiment annotator, it works fine but of course I can't get any sentiment results.

I should also mention that I am running everything wrapped inside a Python subprocess.Popen() call, since the rest of our project is written in Python.

— Reply to this email directly or view it on GitHubhttps://github.com/stanfordnlp/CoreNLP/issues/8 .

[alexweissman]

That works, thank you!

Would it be possible to add an extra column to the table on http://nlp.stanford.edu/software/corenlp.shtml that lists which libraries are required for each annotator? Thanks again.