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See:
Description
Interface Summary | |
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Operation<E> | This interface represents an operation on the SemanticSpace of a Corpus . |
OperationListener |
Class Summary | |
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AbstractOperation<E> | Abstract class for all operations, it contains the common attributes and the start() and end() methods. |
ClassDiscovery | |
ClassDiscovery.PkgInfo | |
CompoundNounsSummarized | |
ConceptExtraction | Concept Extraction operation based on CMM. |
FactorAnalysisPlot | This operation simply presents the content of the reconstructed term/doc matrix with a column for documents and the first row showing the terms |
GrammarChecker | This operation checks the grammar of all documents in a Corpus . |
LastPassage | Extracts the last passage of the corpus, given the linearity expected in the index. |
LexiconAnalysis | LexiconAnalysis returns the accumulated lexicon per passage used in the document. |
OperationEvent | |
ParagraphCoherenceIndex | |
PassageDistances | Calculates the distances (angular) for a whole set of passages
in a Corpus . |
PassageExtractionSummarization | |
PassagesSimilarity | This operation calculates the similarity between all documents within
a Corpus , it can calculate the similarities based on its own
SemanticSpace , or use another Corpus to project all documents
and the calculate similarities between all documents in both corpora. |
RapidAutomaticKeywordExtraction | This operation extracts keywords from all documents in a Corpus . |
Readability | This operation a calculation of readability measurements |
RelationshipExtraction | Relationship extraction aims to extract the labeled relationships from a set of concepts |
Summary | This operation returns several descriptive statistics on the corpus. |
TagClouds | TagClouds returns the list of terms in the Corpus weighted by
the term weighting scheme used in the SemanticSpace . |
TermExtractionSummarization | This operation extracts the key terms from the corpus, ranked by their importance on explaining the variance. |
Operations are predefined sets of interesting information that can be obtained from a Semantic Space.
Operations implement algorithms to obtain patterns of interest from a Semantic Space, such as extracting the most relevant passages or terms, or to obtain a set of labelled clusters.
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