Class Summary |
AbstractFeatureWrapper |
A feature wrapper wrapps one or multiple instances of FeatureAbstract and provides specific querying and updating
services of features tailored to specific term extraction algorithms. |
AverageCorpusTFAlgorithm |
Average corpus tf = tf_in_corpus(t)/doc freq (t). |
AverageCorpusTFFeatureWrapper |
Feature wrapper for AverageCorpusTFAlgorithm |
CValueAlgorithm |
An implementation of the CValue term recognition algorithm. |
CValueFeatureWrapper |
CValueFeatureWrapper wraps an instance of FeatureCorpusTermFrequency, which tells a term's distribution over a corpus;
and an instance of FeatureTermNest, which tells term-nested-in-term relations |
FrequencyAlgorithm |
Simple algorithm that ranks terms by their frequency in the corpus |
FrequencyFeatureWrapper |
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GlossExAlgorithm |
An implementation of the GlossEx term recognition algorithm. |
GlossExFeatureWrapper |
GlossExFeatureWrapper wraps an instance of FeatureCorpusTermFrequency, which tells a candidate term's distribution over a corpus;
another instance of FeatureCorpusTermFrequency which tells individual words' distributions over corpus;
and an instance of FeatureRefCorpusTermFrequency, which tells individual words' distributions in a reference corpus. |
RIDFAlgorithm |
The RIDF algorithm, see
Church, K. |
RIDFFeatureWrapper |
feature wrapper for the RIDF algorithm |
TermExAlgorithm |
An implementation of the TermEx term recognition algorithm. |
TermExFeatureWrapper |
TermExFeatureWrapper wraps an instance of FeatureDocumentTermFrequency, which tells a candidate term's distribution over a corpus,
each document in the corpus, and existence in documents;
another instance of FeatureCorpusTermFrequency which tells individual words' distributions over corpus;
and an instance of FeatureRefCorpusTermFrequency, which tells individual words' distributions in a reference corpus. |
TFIDFAlgorithm |
An implementation of the tf-idf algorithm applied to term recognition algorithm. |
TFIDFFeatureWrapper |
TermExFeatureWrapper wraps an instance of FeatureCorpusTermFrequency which tells each candidate term's distributions over corpus. |
WeirdnessAlgorithm |
An implementation of the word weirdness algorithm applied to term recognition algorithm. |
WeirdnessFeatureWrapper |
WeirdnessFeatureWrapper wraps an instance of FeatureCorpusTermFrequency, which tells a candidate term's distribution over a corpus;
another instance of FeatureCorpusTermFrequency which tells individual words' distributions over corpus;
and an instance of FeatureRefCorpusTermFrequency, which tells individual words' distributions in a reference corpus. |