B C G I N R S T U W

B

BayesianClassifier - Class in net.sf.textkit4j.classify.bayesian

Implements the Classifier API using Bayes Theorem.

BayesianClassifier() - Constructor for class net.sf.textkit4j.classify.bayesian.BayesianClassifier

bigrams(String) - Method in class net.sf.textkit4j.matching.NGramFactory

C

CategoryData - Class in net.sf.textkit4j.classify.bayesian

CategoryData() - Constructor for class net.sf.textkit4j.classify.bayesian.CategoryData

CharacterBigramClassifier - Class in net.sf.textkit4j.classify.ngram

Classifies text using character-based bigrams.

CharacterBigramClassifier() - Constructor for class net.sf.textkit4j.classify.ngram.CharacterBigramClassifier

CharacterNGramFactory - Class in net.sf.textkit4j.matching

Character-based n-gram factory implementation.

CharacterNGramFactory() - Constructor for class net.sf.textkit4j.matching.CharacterNGramFactory

Classification - Class in net.sf.textkit4j.classify

This is the result of a Classifier.classify operation.

Classification() - Constructor for class net.sf.textkit4j.classify.Classification

Classifier - Interface in net.sf.textkit4j.classify

Classifiers assign a category, label, or group name to input text based on previously trained data sets.

classify(String) - Method in class net.sf.textkit4j.classify.bayesian.BayesianClassifier

TODO.

classify(String) - Method in interface net.sf.textkit4j.classify.Classifier

classify(String) - Method in class net.sf.textkit4j.classify.ngram.NgramClassifier

classify(String) - Method in class net.sf.textkit4j.classify.regex.RegexingClassifier

G

getCategories() - Method in class net.sf.textkit4j.classify.bayesian.WordAndCategoryOccurences

getCategory() - Method in class net.sf.textkit4j.classify.bayesian.CategoryData

getCategory() - Method in class net.sf.textkit4j.classify.Classification

getCategoryProbability(String) - Method in class net.sf.textkit4j.classify.bayesian.WordAndCategoryOccurences

getNgramFactory() - Method in class net.sf.textkit4j.classify.ngram.NgramClassifier

getNumWordsObserved() - Method in class net.sf.textkit4j.classify.bayesian.CategoryData

getObservedOccurences() - Method in class net.sf.textkit4j.classify.bayesian.CategoryData

getObservedOccurences() - Method in class net.sf.textkit4j.classify.bayesian.WordData

getObservedOccurencesFor(String) - Method in class net.sf.textkit4j.classify.bayesian.WordData

getProbability() - Method in class net.sf.textkit4j.classify.Classification

getProbabilityOfWordGivenCategory(String, String) - Method in class net.sf.textkit4j.classify.bayesian.WordAndCategoryOccurences

getTrainingData() - Method in class net.sf.textkit4j.classify.ngram.NgramClassifier

getWord() - Method in class net.sf.textkit4j.classify.bayesian.WordData

getWordBoundaryRegexp() - Static method in class net.sf.textkit4j.classify.support.Words

getWordProbability(String) - Method in class net.sf.textkit4j.classify.bayesian.WordAndCategoryOccurences

I

incrementObservedOccurences() - Method in class net.sf.textkit4j.classify.bayesian.WordData

incrementOccurences() - Method in class net.sf.textkit4j.classify.bayesian.CategoryData

incrementOccurencesForCategory(String) - Method in class net.sf.textkit4j.classify.bayesian.WordData

isAStopWord(String) - Static method in class net.sf.textkit4j.classify.support.Words

isCollapseWhiteSpace() - Method in class net.sf.textkit4j.matching.NGramFactory

isLowerCase() - Method in class net.sf.textkit4j.matching.NGramFactory

isStripPunctuation() - Method in class net.sf.textkit4j.matching.NGramFactory

N

net.sf.textkit4j.classify - package net.sf.textkit4j.classify

net.sf.textkit4j.classify.bayesian - package net.sf.textkit4j.classify.bayesian

net.sf.textkit4j.classify.ngram - package net.sf.textkit4j.classify.ngram

net.sf.textkit4j.classify.regex - package net.sf.textkit4j.classify.regex

net.sf.textkit4j.classify.support - package net.sf.textkit4j.classify.support

net.sf.textkit4j.matching - package net.sf.textkit4j.matching

NEUTRAL_PROBABILITY - Static variable in class net.sf.textkit4j.classify.Classification

NgramClassifier - Class in net.sf.textkit4j.classify.ngram

NgramClassifier() - Constructor for class net.sf.textkit4j.classify.ngram.NgramClassifier

ngramFactory - Variable in class net.sf.textkit4j.classify.ngram.NgramClassifier

NGramFactory - Class in net.sf.textkit4j.matching

Generates a map of n-grams and their count in the supplied text.

NGramFactory() - Constructor for class net.sf.textkit4j.matching.NGramFactory

NGrams - Class in net.sf.textkit4j.matching

(Plagarized from Wikipedia) An n-gram is a sub-sequence of n items from a given sequence.

R

RegexingClassifier - Class in net.sf.textkit4j.classify.regex

RegexingClassifier() - Constructor for class net.sf.textkit4j.classify.regex.RegexingClassifier

S

setCategory(String) - Method in class net.sf.textkit4j.classify.bayesian.CategoryData

setCategory(String) - Method in class net.sf.textkit4j.classify.Classification

setCollapseWhiteSpace(boolean) - Method in class net.sf.textkit4j.matching.NGramFactory

setLowerCase(boolean) - Method in class net.sf.textkit4j.matching.NGramFactory

setNgramFactory(NGramFactory) - Method in class net.sf.textkit4j.classify.ngram.NgramClassifier

setNGramFactory(NGramFactory) - Method in class net.sf.textkit4j.classify.ngram.NgramClassifier

setNumWordsObserved(Long) - Method in class net.sf.textkit4j.classify.bayesian.CategoryData

setProbability(Double) - Method in class net.sf.textkit4j.classify.Classification

setStripPunctuation(boolean) - Method in class net.sf.textkit4j.matching.NGramFactory

setTrainingData(Map<String, NGrams>) - Method in class net.sf.textkit4j.classify.ngram.NgramClassifier

setWord(String) - Method in class net.sf.textkit4j.classify.bayesian.WordData

similiarity(NGrams) - Method in class net.sf.textkit4j.matching.NGrams

Calculates the similarity of this NGrams with the other NGrams as the cosine of the angle between the two NGrams vector representation.

T

trainingNgrams - Variable in class net.sf.textkit4j.classify.ngram.NgramClassifier

trainToClassifyAs(String, String) - Method in class net.sf.textkit4j.classify.bayesian.BayesianClassifier

Training simply involves tracking how many times a word is associated with a particular category, how many words observed in total, etc.

trainToClassifyAs(String, String) - Method in interface net.sf.textkit4j.classify.Classifier

trainToClassifyAs(String, String) - Method in class net.sf.textkit4j.classify.ngram.CharacterBigramClassifier

trainToClassifyAs(String, String) - Method in class net.sf.textkit4j.classify.ngram.NgramClassifier

trainToClassifyAs(String, String) - Method in class net.sf.textkit4j.classify.ngram.WordBigramClassifier

trainToClassifyAs(String, String) - Method in class net.sf.textkit4j.classify.regex.RegexingClassifier

trigrams(String) - Method in class net.sf.textkit4j.matching.NGramFactory

U

unigrams(String) - Method in class net.sf.textkit4j.matching.NGramFactory

updateOccurences(String, String) - Method in class net.sf.textkit4j.classify.bayesian.WordAndCategoryOccurences

W

WordAndCategoryOccurences - Class in net.sf.textkit4j.classify.bayesian

WordAndCategoryOccurences() - Constructor for class net.sf.textkit4j.classify.bayesian.WordAndCategoryOccurences

WordBigramClassifier - Class in net.sf.textkit4j.classify.ngram

WordBigramClassifier() - Constructor for class net.sf.textkit4j.classify.ngram.WordBigramClassifier

WordData - Class in net.sf.textkit4j.classify.bayesian

WordData() - Constructor for class net.sf.textkit4j.classify.bayesian.WordData

WordNGramFactory - Class in net.sf.textkit4j.matching

Generates ngrams of words.

WordNGramFactory() - Constructor for class net.sf.textkit4j.matching.WordNGramFactory

Words - Class in net.sf.textkit4j.classify.support

Words() - Constructor for class net.sf.textkit4j.classify.support.Words

B C G I N R S T U W