Examples of dkpro.similarity.algorithms.sspace.util.DocumentVectorBuilder

{@code DocumentVectorBuilder} generates {@code Vector} representations of adocument, based on semantic {@code Vector}s provided for a {@code SemanticSpace}. This can be consider as a projecting the document into the semantic space.

Documents will be tokenized using the current tokenizing method, and the vector in the {@code SemanticSpace} corresponding to eachword found in the document will be combined together.

Options for combining term {@code Vector}s include summation, average, and term frequency weighting. @author Keith Stevens

   * @parameter dimensions An existing semantic space (usually an *.sspace file)
   */
  public SSpaceVectorReader(SemanticSpace aSSpace)
  {
    sspace = aSSpace;
    builder = new DocumentVectorBuilder(aSSpace);
  }

Examples of dkpro.similarity.algorithms.sspace.util.DocumentVectorBuilder

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