Executing and testing stanford core nlp example

I downloaded stanford core nlp packages and tried to test it on my machine. Using command: `java -cp "*" -mx1g edu.stanford.nlp.sentiment.SentimentPipeline -file input.txt` I got sentiment result in form of `positive` or `negative`. `input.txt` contains the sentence to be tested. On more command: `java -cp stanford-corenlp-3.3.0.jar;stanford-corenlp-3.3.0-models.jar;xom.jar;joda-time.jar -Xmx600m edu.stanford.nlp.pipeline.StanfordCoreNLP -annotators tokenize,ssplit,pos,lemma,parse -file input.txt` when executed gives follwing lines : ``` H:\Drive E\Stanford\stanfor-corenlp-full-2013~>java -cp stanford-corenlp-3.3.0.j ar;stanford-corenlp-3.3.0-models.jar;xom.jar;joda-time.jar -Xmx600m edu.stanford .nlp.pipeline.StanfordCoreNLP -annotators tokenize,ssplit,pos,lemma,parse -file input.txt Adding annotator tokenize Adding annotator ssplit Adding annotator pos Reading POS tagger model from edu/stanford/nlp/models/pos-tagger/english-left3wo rds/english-left3words-distsim.tagger ... done [36.6 sec]. Adding annotator lemma Adding annotator parse Loading parser from serialized file edu/stanford/nlp/models/lexparser/englishPCF G.ser.gz ... done [13.7 sec]. Ready to process: 1 files, skipped 0, total 1 Processing file H:\Drive E\Stanford\stanfor-corenlp-full-2013~\input.txt ... wri ting to H:\Drive E\Stanford\stanfor-corenlp-full-2013~\input.txt.xml { Annotating file H:\Drive E\Stanford\stanfor-corenlp-full-2013~\input.txt [13.6 81 seconds] } [20.280 seconds] Processed 1 documents Skipped 0 documents, error annotating 0 documents Annotation pipeline timing information: PTBTokenizerAnnotator: 0.4 sec. WordsToSentencesAnnotator: 0.0 sec. POSTaggerAnnotator: 1.8 sec. MorphaAnnotator: 2.2 sec. ParserAnnotator: 9.1 sec. TOTAL: 13.6 sec. for 10 tokens at 0.7 tokens/sec. Pipeline setup: 58.2 sec. Total time for StanfordCoreNLP pipeline: 79.6 sec. H:\Drive E\Stanford\stanfor-corenlp-full-2013~> ``` Could understand. No informative result. I got one example at : stanford core nlp java output ``` import java.io.*; import java.util.*; import edu.stanford.nlp.io.*; import edu.stanford.nlp.ling.*; import edu.stanford.nlp.pipeline.*; import edu.stanford.nlp.trees.*; import edu.stanford.nlp.util.*; public class StanfordCoreNlpDemo { public static void main(String[] args) throws IOException { PrintWriter out; if (args.length > 1) { out = new PrintWriter(args[1]); } else { out = new PrintWriter(System.out); } PrintWriter xmlOut = null; if (args.length > 2) { xmlOut = new PrintWriter(args[2]); } StanfordCoreNLP pipeline = new StanfordCoreNLP(); Annotation annotation; if (args.length > 0) { annotation = new Annotation(IOUtils.slurpFileNoExceptions(args[0])); } else { annotation = new Annotation("Kosgi Santosh sent an email to Stanford University. He didn't get a reply."); } pipeline.annotate(annotation); pipeline.prettyPrint(annotation, out); if (xmlOut != null) { pipeline.xmlPrint(annotation, xmlOut); } // An Annotation is a Map and you can get and use the various analyses individually. // For instance, this gets the parse tree of the first sentence in the text. List<CoreMap> sentences = annotation.get(CoreAnnotations.SentencesAnnotation.class); if (sentences != null && sentences.size() > 0) { CoreMap sentence = sentences.get(0); Tree tree = sentence.get(TreeCoreAnnotations.TreeAnnotation.class); out.println(); out.println("The first sentence parsed is:"); tree.pennPrint(out); } } } ``` Tried to execute it in netbeans with including necessary library. But it always stuck in between or gives exception `Exception in thread “main” java.lang.OutOfMemoryError: Java heap space` Thou I set the memory to be allocated in `property/run/VM box` Any idea how can I run above java example using command line? I want to get sentiment score of the example UPDATE output of : `java -cp "*" -mx1g edu.stanford.nlp.sentiment.SentimentPipeline -file input.txt` out put of: `java -cp stanford-corenlp-3.3.0.j ar;stanford-corenlp-3.3.0-models.jar;xom.jar;joda-time.jar -Xmx600m edu.stanford .nlp.pipeline.StanfordCoreNLP -annotators tokenize,ssplit,pos,lemma,parse -file input.txt`