Uses of Package
tml.vectorspace

Packages that use tml.vectorspace

tml.corpus	Implements all the classes required for corpora management as Bags of Words, it also includes NLP for sentences.
tml.vectorspace	Implements a Vector Space Model, that can be later transformed using Latent Semantic Analysis.

Classes in tml.vectorspace used by tml.corpus

NoDocumentsInCorpusException
Exception raised when no documents are found in the Corpus

NotEnoughTermsInCorpusException
This class represents an exception thrown when the Corpus does not contain enough terms, therefore the SVD decomposition can't be performed

SemanticSpace
This class is a Vector Space Model representation of a group of documents or Corpus constructed using Latent Semantic Indexing, it contains a term by document matrix for the Corpus.

TermWeighting.GlobalWeight
Implemented global weight functions

TermWeighting.LocalWeight
Implemented local weight functions

TermWeightingException
Exception occurred while applying the term weighting criteria

Classes in tml.vectorspace used by tml.vectorspace

NotEnoughTermsInCorpusException
This class represents an exception thrown when the Corpus does not contain enough terms, therefore the SVD decomposition can't be performed

SVD

TermWeighting.GlobalWeight
Implemented global weight functions

TermWeighting.LocalWeight
Implemented local weight functions

TermWeightingException
Exception occurred while applying the term weighting criteria