|
||||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES | |||||||||
See:
Description
| Interface Summary | |
|---|---|
| Operation<E> | This interface represents an operation on the SemanticSpace of a Corpus. |
| OperationListener | |
| Class Summary | |
|---|---|
| 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.
|
||||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES | |||||||||