edu.umd.cloud9.example.cooccur
Class ComputeCooccurrenceMatrixStripes

java.lang.Object
  org.apache.hadoop.conf.Configured
      edu.umd.cloud9.example.cooccur.ComputeCooccurrenceMatrixStripes

All Implemented Interfaces:

Configurable, Tool

public class ComputeCooccurrenceMatrixStripes
extends Configured
implements Tool

Implementation of the "stripes" algorithm for computing co-occurrence matrices from a large text collection. This algorithm is described in Chapter 3 of "Data-Intensive Text Processing with MapReduce" by Lin & Dyer, as well as the following paper:

Jimmy Lin. Scalable Language Processing Algorithms for the Masses: A Case Study in Computing Word Co-occurrence Matrices with MapReduce. Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP 2008), pages 419-428.

This program takes the following command-line arguments:

• [input-path]
• [output-path]
• [window]
• [num-reducers]

Author:

Jimmy Lin

Constructor Summary

ComputeCooccurrenceMatrixStripes()
Creates an instance of this tool.

Method Summary

static void	main(String[] args) Dispatches command-line arguments to the tool via the ToolRunner.
int	run(String[] args) Runs this tool.

Methods inherited from class org.apache.hadoop.conf.Configured

getConf, setConf

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.apache.hadoop.conf.Configurable

getConf, setConf

Constructor Detail

ComputeCooccurrenceMatrixStripes

public ComputeCooccurrenceMatrixStripes()

Creates an instance of this tool.

Method Detail

run

public int run(String[] args)
        throws Exception

Runs this tool.

Specified by:

run in interface Tool

Throws:

Exception

main

public static void main(String[] args)
                 throws Exception

Dispatches command-line arguments to the tool via the ToolRunner.

Throws:

Exception