first commit

Entity.java

@@ -0,0 +1,117 @@
+//Named-Entity Recognition
+
+package namedentity;
+
+import java.io.IOException;
+import java.util.List;
+import java.util.Properties;
+
+import edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation;
+import edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation;
+import edu.stanford.nlp.ling.CoreAnnotations.SentencesAnnotation;
+import edu.stanford.nlp.ling.CoreAnnotations.TokensAnnotation;
+import edu.stanford.nlp.ling.CoreLabel;
+import edu.stanford.nlp.pipeline.Annotation;
+import edu.stanford.nlp.pipeline.StanfordCoreNLP;
+import edu.stanford.nlp.util.CoreMap;
+
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.io.IntWritable;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.mapreduce.Job;
+import org.apache.hadoop.mapreduce.Mapper;
+import org.apache.hadoop.mapreduce.Reducer;
+import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
+import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
+import org.apache.hadoop.util.GenericOptionsParser;
+
+
+public class Entity{
+
+	private static String modelPath = ("/user/hduser/models");
+
+	 public static class TokenizerMapper 
+     extends Mapper<Object, Text, Text, IntWritable>{
+
+  private final static IntWritable one = new IntWritable(1);
+ private Text word = new Text();
+
+  public void map(Object key, Text value, Context context
+                  ) throws IOException, InterruptedException {
+
+	  Properties props = new Properties();
+	  props.put("annotators", "tokenize, ssplit, pos, lemma, ner, parse, sentiment, dcoref");
+		StanfordCoreNLP pipeline = new StanfordCoreNLP();
+
+		Annotation document = new Annotation(value.toString());
+		pipeline.annotate(document);
+
+		List<CoreMap> sentences = document.get(SentencesAnnotation.class);
+
+		for(CoreMap sentence: sentences){
+			for(CoreLabel token: sentence.get(TokensAnnotation.class)){
+				String entity = token.get(NamedEntityTagAnnotation.class);
+				String s=token+entity;
+				word = new Text();
+				word.set(s.toString());
+				 System.out.println(s.toString());
+				context.write(word, one);	
+
+
+    }
+		}	
+  }
+}
+
+	public static class IntSumReducer extends
+			Reducer<Text, IntWritable, Text, IntWritable> {
+		private IntWritable result = new IntWritable();
+
+		public void reduce(Text key, Iterable<IntWritable> values,
+				Context context) throws IOException, InterruptedException {
+
+			 int sum = 0;
+		      for (IntWritable val : values) {
+		        sum += val.get();
+		      }
+		      result.set(sum);
+		      context.write(key, result);
+		    }
+		  }
+
+
+
+
+
+
+
+	public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
+
+		Configuration conf = new Configuration();
+	    String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
+
+	    if (otherArgs.length !=2){
+	      System.err.println("Usage: stanford <in> <out>");
+	      System.exit(2);
+	    }
+	    Job job = new Job(conf, "Stanford");
+	    job.setJarByClass(Entity.class);
+	    job.setMapperClass(TokenizerMapper.class);
+	    job.setCombinerClass(IntSumReducer.class);
+	    job.setReducerClass(IntSumReducer.class);
+	    job.setOutputKeyClass(Text.class);
+
+	    job.setOutputValueClass(IntWritable.class);
+	    FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
+	    FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
+
+	    System.exit(job.waitForCompletion(true) ? 0 : 1);
+	  }
+
+
+	}
+
+
+
+

Entity.java~

@@ -0,0 +1,115 @@
+package namedentity;
+
+import java.io.IOException;
+import java.util.List;
+import java.util.Properties;
+
+import edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation;
+import edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation;
+import edu.stanford.nlp.ling.CoreAnnotations.SentencesAnnotation;
+import edu.stanford.nlp.ling.CoreAnnotations.TokensAnnotation;
+import edu.stanford.nlp.ling.CoreLabel;
+import edu.stanford.nlp.pipeline.Annotation;
+import edu.stanford.nlp.pipeline.StanfordCoreNLP;
+import edu.stanford.nlp.util.CoreMap;
+
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.io.IntWritable;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.mapreduce.Job;
+import org.apache.hadoop.mapreduce.Mapper;
+import org.apache.hadoop.mapreduce.Reducer;
+import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
+import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
+import org.apache.hadoop.util.GenericOptionsParser;
+
+
+public class Entity{
+
+	private static String modelPath = ("/user/hduser/models");
+
+	 public static class TokenizerMapper 
+     extends Mapper<Object, Text, Text, IntWritable>{
+
+  private final static IntWritable one = new IntWritable(1);
+ private Text word = new Text();
+
+  public void map(Object key, Text value, Context context
+                  ) throws IOException, InterruptedException {
+
+	  Properties props = new Properties();
+	  props.put("annotators", "tokenize, ssplit, pos, lemma, ner, parse, sentiment, dcoref");
+		StanfordCoreNLP pipeline = new StanfordCoreNLP();
+
+		Annotation document = new Annotation(value.toString());
+		pipeline.annotate(document);
+
+		List<CoreMap> sentences = document.get(SentencesAnnotation.class);
+
+		for(CoreMap sentence: sentences){
+			for(CoreLabel token: sentence.get(TokensAnnotation.class)){
+				String entity = token.get(NamedEntityTagAnnotation.class);
+				String s=token+entity;
+				word = new Text();
+				word.set(s.toString());
+				 System.out.println(s.toString());
+				context.write(word, one);	
+
+
+    }
+		}	
+  }
+}
+
+	public static class IntSumReducer extends
+			Reducer<Text, IntWritable, Text, IntWritable> {
+		private IntWritable result = new IntWritable();
+
+		public void reduce(Text key, Iterable<IntWritable> values,
+				Context context) throws IOException, InterruptedException {
+
+			 int sum = 0;
+		      for (IntWritable val : values) {
+		        sum += val.get();
+		      }
+		      result.set(sum);
+		      context.write(key, result);
+		    }
+		  }
+
+
+
+
+
+
+
+	public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
+
+		Configuration conf = new Configuration();
+	    String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
+
+	    if (otherArgs.length !=2){
+	      System.err.println("Usage: stanford <in> <out>");
+	      System.exit(2);
+	    }
+	    Job job = new Job(conf, "Stanford");
+	    job.setJarByClass(Entity.class);
+	    job.setMapperClass(TokenizerMapper.class);
+	    job.setCombinerClass(IntSumReducer.class);
+	    job.setReducerClass(IntSumReducer.class);
+	    job.setOutputKeyClass(Text.class);
+
+	    job.setOutputValueClass(IntWritable.class);
+	    FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
+	    FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
+
+	    System.exit(job.waitForCompletion(true) ? 0 : 1);
+	  }
+
+
+	}
+
+
+
+

Sentiment.java

@@ -0,0 +1,116 @@
+//Sentiment Analysis
+
+package namedentity;
+
+import java.io.IOException;
+import java.util.List;
+import java.util.Properties;
+
+import edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation;
+import edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation;
+import edu.stanford.nlp.ling.CoreAnnotations.SentencesAnnotation;
+import edu.stanford.nlp.ling.CoreAnnotations.TokensAnnotation;
+import edu.stanford.nlp.ling.CoreLabel;
+import edu.stanford.nlp.pipeline.Annotation;
+import edu.stanford.nlp.pipeline.StanfordCoreNLP;
+import edu.stanford.nlp.sentiment.SentimentCoreAnnotations;
+import edu.stanford.nlp.util.CoreMap;
+
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.io.IntWritable;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.mapreduce.Job;
+import org.apache.hadoop.mapreduce.Mapper;
+import org.apache.hadoop.mapreduce.Reducer;
+import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
+import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
+import org.apache.hadoop.util.GenericOptionsParser;
+
+
+public class Sentiment{
+
+	private static String modelPath = ("/user/hduser/models");
+
+	 public static class TokenizerMapper 
+     extends Mapper<Object, Text, Text, IntWritable>{
+
+  private final static IntWritable one = new IntWritable(1);
+ private Text word = new Text();
+
+  public void map(Object key, Text value, Context context
+                  ) throws IOException, InterruptedException {
+
+		Properties props = new Properties();
+		props.setProperty("annotators", "tokenize, ssplit, parse, sentiment");
+		StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
+
+		Annotation annotation = pipeline.process(value.toString());
+		List<CoreMap> sentences = annotation.get(SentencesAnnotation.class);
+
+		for(CoreMap sentence: sentences){
+			String sentiment = sentence.get(SentimentCoreAnnotations.ClassName.class);
+
+				String s=sentiment+" "+ sentence;
+				word = new Text();
+				word.set(s.toString());
+				 System.out.println(s.toString());
+				context.write(word, one);	
+
+
+    }
+		}	
+  }
+
+
+	public static class IntSumReducer extends
+			Reducer<Text, IntWritable, Text, IntWritable> {
+		private IntWritable result = new IntWritable();
+
+		public void reduce(Text key, Iterable<IntWritable> values,
+				Context context) throws IOException, InterruptedException {
+
+			 int sum = 0;
+		      for (IntWritable val : values) {
+		        sum += val.get();
+		      }
+		      result.set(sum);
+		      context.write(key, result);
+		    }
+		  }
+
+
+
+
+
+
+
+	public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
+
+		Configuration conf = new Configuration();
+	    String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
+
+	    if (otherArgs.length !=2){
+	      System.err.println("Usage: sentiment <in> <out>");
+	      System.exit(2);
+	    }
+	    Job job = new Job(conf, "Sentiment");
+	    job.setJarByClass(Entity.class);
+	    job.setMapperClass(TokenizerMapper.class);
+	    job.setCombinerClass(IntSumReducer.class);
+	    job.setReducerClass(IntSumReducer.class);
+	    job.setOutputKeyClass(Text.class);
+
+	    job.setOutputValueClass(IntWritable.class);
+	    FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
+	    FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
+
+	    System.exit(job.waitForCompletion(true) ? 0 : 1);
+	  }
+
+
+	}
+
+
+
+