Uses of Class
sentRep.Sentence

Packages that use Sentence
sentRep   
 

Uses of Sentence in sentRep
 

Methods in sentRep that return Sentence
 Sentence SimpleSentenceFactory.buildRepresentationVector(java.lang.String[] sWords)
          Creates a sentence from a list of words
 Sentence SentenceFactory.buildRepresentationVector(java.lang.String[] sWords)
          This builds a hashtables of features and values out of an array of words.
 Sentence RogetSentenceFactory.buildRepresentationVector(java.lang.String[] sWords)
          This finds all the words in sWords that appear in Roget's Thesaurus and represents them as weighted head groups, heads, pos's and paragraphs.
 Sentence SimpleSentenceFactory.buildRepresentationVector(java.lang.String[] sWords, int maxPhraseLength)
          Creates a sentence from a list of words.
 Sentence SentenceFactory.buildRepresentationVector(java.lang.String[] sWords, int maxPhraseLength)
          This builds a hashtables of features and values out of an array of words.
 Sentence RogetSentenceFactory.buildRepresentationVector(java.lang.String[] sWords, int maxPhraseLength)
          This finds all the words in sWords that appear in Roget's Thesaurus and represents them as weighted head groups, heads, pos's and paragraphs.
 Sentence SimpleSentenceFactory.buildRepresentationVector(java.lang.String[] sWords, int maxPhraseLength, double mean)
          Creates a sentence from a list of words.
 Sentence SentenceFactory.buildRepresentationVector(java.lang.String[] sWords, int maxPhraseLength, double mean)
          This builds a hashtables of features and values out of an array of words.
 Sentence RogetSentenceFactory.buildRepresentationVector(java.lang.String[] sWords, int maxPhraseLength, double mean)
          This finds all the words in sWords that appear in Roget's Thesaurus and represents them as weighted head groups, heads, pos's and paragraphs.
 

Methods in sentRep with parameters of type Sentence
 double[] Sentence.getFeatureVector(Sentence sen)
          Generates and prints out the features for the weka ML algorithms to train/test on.
 void Sentence.printFeatureVector(Sentence sen, java.lang.String value)
           
 void Sentence.printFeatureVector(Sentence sen, java.lang.String value, java.lang.String[] keys, java.io.BufferedWriter bw)
          Generates and prints out the features for the weka ML algorithms to train/test on.
 double Sentence.similarityModified(Sentence target)
          computes cosine similarity between two hashtables v1 and v2 weights of items are reweighted based on the normal distribution.
 double Sentence.similarityOriginal(Sentence target)
          computes cosine similarity between two hashtables v1 and v2 weights of items are not re-weighted.