Uses of Class
net.seninp.jmotif.text.WordBag

Packages that use WordBag

Package	Description
net.seninp.jmotif.text	Provides implementations of text mining algorithms, datastructures and metrics.

Uses of WordBag in net.seninp.jmotif.text

Methods in net.seninp.jmotif.text that return WordBag

Modifier and Type	Method and Description
WordBag	WordBag.clone()
WordBag	WordBag.clone()
WordBag	TextProcessor.seriesToWordBag(String label, double[] ts, Params params) Converts time series to a word bag.
WordBag	TextProcessor.seriesToWordBag(String label, double[] ts, Params params) Converts time series to a word bag.

Methods in net.seninp.jmotif.text that return types with arguments of type WordBag

Modifier and Type	Method and Description
List<WordBag>	TextProcessor.labeledSeries2WordBags(Map<String,List<double[]>> data, Params params)
List<WordBag>	TextProcessor.labeledSeries2WordBags(Map<String,List<double[]>> data, Params params)

Methods in net.seninp.jmotif.text with parameters of type WordBag

Modifier and Type	Method and Description
double	TextProcessor.augmentedTF(WordBag bag, String term) Compute TF (term frequency) metrics.
double	TextProcessor.augmentedTF(WordBag bag, String term) Compute TF (term frequency) metrics.
int	TextProcessor.classify(String trueClassLabel, WordBag test, HashMap<String,HashMap<String,Double>> tfidf)
int	TextProcessor.classify(String trueClassLabel, WordBag test, HashMap<String,HashMap<String,Double>> tfidf)
String	TextProcessor.classify(WordBag test, HashMap<String,HashMap<String,Double>> tfidf)
String	TextProcessor.classify(WordBag test, HashMap<String,HashMap<String,Double>> tfidf)
double	TextProcessor.cosineSimilarity(WordBag testSample, HashMap<String,Double> weightVector)
double	TextProcessor.cosineSimilarity(WordBag testSample, HashMap<String,Double> weightVector)
double	TextProcessor.cosineSimilarityInstrumented(WordBag testSample, HashMap<String,Double> weightVector, HashMap<String,Double> insight)
double	TextProcessor.cosineSimilarityInstrumented(WordBag testSample, HashMap<String,Double> weightVector, HashMap<String,Double> insight)
double	TextProcessor.logAveTF(WordBag bag, String term) Compute TF (term frequency) metrics.
double	TextProcessor.logAveTF(WordBag bag, String term) Compute TF (term frequency) metrics.
double	TextProcessor.logTF(WordBag bag, String term) Compute TF (term frequency) metrics.
double	TextProcessor.logTF(WordBag bag, String term) Compute TF (term frequency) metrics.
void	WordBag.mergeWith(WordBag otherBag) Implements merge operation for this bag with some other bag.
void	WordBag.mergeWith(WordBag otherBag) Implements merge operation for this bag with some other bag.
double	TextProcessor.normalizedTF(WordBag bag, String term) Compute TF (term frequency) metrics.
double	TextProcessor.normalizedTF(WordBag bag, String term) Compute TF (term frequency) metrics.
String	TextProcessor.wordBagToTable(WordBag bag)
String	TextProcessor.wordBagToTable(WordBag bag)

Method parameters in net.seninp.jmotif.text with type arguments of type WordBag

Modifier and Type	Method and Description
String	TextProcessor.bagsToTable(List<WordBag> bags)
String	TextProcessor.bagsToTable(List<WordBag> bags)
HashMap<String,HashMap<String,Double>>	TextProcessor.computeTFIDF(Collection<WordBag> texts) Computes TF*IDF values.
HashMap<String,HashMap<String,Double>>	TextProcessor.computeTFIDF(Collection<WordBag> texts) Computes TF*IDF values.
int	TextProcessor.df(HashMap<String,WordBag> bags, String string) Compute document frequency, DF, metrics.
int	TextProcessor.df(HashMap<String,WordBag> bags, String string) Compute document frequency, DF, metrics.
double	TextProcessor.idf(HashMap<String,WordBag> bags, String string) Compute idf (inverse document frequency) metrics.
double	TextProcessor.idf(HashMap<String,WordBag> bags, String string) Compute idf (inverse document frequency) metrics.