edu.ucla.sspace.wordsi

Class TopicModelContextExtractor

java.lang.Object

edu.ucla.sspace.wordsi.TopicModelContextExtractor

All Implemented Interfaces:

ContextExtractor

public class TopicModelContextExtractor
extends Object
implements ContextExtractor

A ContextExtractor for processing documents with topic signatures for contexts as computed by the Mallet framework. Each document should be preceeded with the very first token representing the focus word represented by the context.

Author:

Keith Stevens

Constructor Summary

Constructors

Constructor and Description
TopicModelContextExtractor()

Method Summary

Methods

Modifier and Type	Method and Description
int	getVectorLength() Returns the maximum number of dimensions used to represent any given context.
void	processDocument(BufferedReader document, Wordsi wordsi) Processes the content of document and calls Wordsi.handleContextVector(java.lang.String, java.lang.String, edu.ucla.sspace.vector.SparseDoubleVector) for each context vector that can be extracted from document.

Methods inherited from class java.lang.Object

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

Constructor Detail

TopicModelContextExtractor

public TopicModelContextExtractor()

Method Detail

processDocument

public void processDocument(BufferedReader document,
                   Wordsi wordsi)

Processes the content of document and calls Wordsi.handleContextVector(java.lang.String, java.lang.String, edu.ucla.sspace.vector.SparseDoubleVector) for each context vector that can be extracted from document.

Specified by:

processDocument in interface ContextExtractor

getVectorLength

public int getVectorLength()

Returns the maximum number of dimensions used to represent any given context.

Specified by:

getVectorLength in interface ContextExtractor