A B C D E G H I L M N P R S T U W

A

affective.core - package affective.core

AFINN_FILE_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

The path of the AFINN lexicon.

allowAccessToFullInputFormat() - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

allowAccessToFullInputFormat() - Method in class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

allowAccessToFullInputFormat() - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

annotatePhase(Instances) - Method in class weka.filters.unsupervised.attribute.ASA

Annotates tweets according using the polarity lexicon

ArffLexiconEvaluator - Class in affective.core

This class is used for calculating scores for a tweet using a list of affective lexicons in arff format.

ArffLexiconEvaluator() - Constructor for class affective.core.ArffLexiconEvaluator

ArffLexiconWordLabeller - Class in affective.core

This class is used for labeling words using lexicons in arff format.

ArffLexiconWordLabeller() - Constructor for class affective.core.ArffLexiconWordLabeller

ASA - Class in weka.filters.unsupervised.attribute

A batch filter that creates polarity labeled instances from unlabeled tweets and a seed polarity lexicon using the Annotate-Sample-Average Algorithm.

ASA() - Constructor for class weka.filters.unsupervised.attribute.ASA

B

BING_LIU_FILE_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

The path of the BingLiu lexicon.

C

calculateDocVec(List<String>) - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

Calculates tweet vectors from a list of tokens

calculateDocVec(List<String>) - Method in class weka.filters.unsupervised.attribute.TweetCentroid

Calculates tweet vectors from a list of tokens

calculateDocVec(String) - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

Calculates a vector of attributes from a String

calculateTermFreq(List<String>, String, boolean) - Static method in class affective.core.Utils

Calculates a vector of attributes from a list of tokens

calculateTokenNgram(List<String>, int) - Static method in class affective.core.Utils

Calculates token n-grams from a sequence of tokens.

clustList(List<String>, Map<String, String>) - Static method in class affective.core.Utils

Calculates a sequence of word-clusters from a list of tokens and a dictionary.

CLUSTPREFIX - Static variable in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

The prefix for cluster-based attributes.

computeWordVecsAndVoc(Instances) - Method in class weka.filters.unsupervised.attribute.PTCM

Calculates the vocabulary and the word vectors from an Instances object The vocabulary is only extracted the first time the filter is run.

computeWordVecsAndVoc(Instances) - Method in class weka.filters.unsupervised.attribute.TweetCentroid

Calculates the vocabulary and the word vectors from an Instances object The vocabulary is only extracted the first time the filter is run.

createDataset(String) - Method in class weka.core.converters.HumanCodedToArff

createDataset(String) - Method in class weka.core.converters.NRCAffectToArff

Creates a Weka Instances object from the lexicon.

createDataset(String) - Method in class weka.core.converters.SemEvalToArff

createDataset(String) - Method in class weka.core.converters.TweetCollectionToArff

Creates the dataset.

createDict() - Method in class affective.core.CSVEmbeddingHandler

createDict() - Method in class affective.core.EmbeddingHandler

initializes the dictionary

CSVEmbeddingHandler - Class in affective.core

This class is used for handling word vector or embeddings stored in gzipped files.

CSVEmbeddingHandler() - Constructor for class affective.core.CSVEmbeddingHandler

D

DistantSupervisionSyntheticFilter - Class in weka.filters.unsupervised.attribute

An abstract filter that creates polarity labeled instances from unlabeled tweets and a seed polarity lexicon by generating synthetic instances.

DistantSupervisionSyntheticFilter() - Constructor for class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

E

EmbeddingHandler - Class in affective.core

This abstract class is used for handling word vector or embeddings.

EmbeddingHandler() - Constructor for class affective.core.EmbeddingHandler

EMOTICON_LIST_FILE_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

The path of the emoticon list.

evaluateTweet(List<String>) - Method in class affective.core.ArffLexiconEvaluator

Calculates lexicon-based feature values from a list of tokens

evaluateTweet(List<String>) - Method in class affective.core.IntensityLexiconEvaluator

evaluateTweet(List<String>) - Method in class affective.core.LexiconEvaluator

Calculates lexicon-based feature values from a list of tokens

evaluateTweet(List<String>) - Method in class affective.core.NegationEvaluator

evaluateTweet(List<String>) - Method in class affective.core.NRCEmotionLexiconEvaluator

evaluateTweet(List<String>) - Method in class affective.core.NRCExpandedEmotionLexiconEvaluator

evaluateTweet(List<String>) - Method in class affective.core.NRCHashtagEmotionLexiconEvaluator

evaluateTweet(List<String>) - Method in class affective.core.PolarityLexiconEvaluator

evaluateTweet(List<String>) - Method in class affective.core.SentiStrengthEvaluator

evaluateTweet(List<String>) - Method in class affective.core.SWN3LexiconEvaluator

evaluateWord(String) - Method in class affective.core.ArffLexiconWordLabeller

Retrieves word-affective associations from a lexicon for a particular word

extractCharNgram(String, int) - Static method in class affective.core.Utils

Calculates character n-grams from a String.

G

getAction() - Method in class weka.filters.unsupervised.attribute.TweetToEmbeddingsFeatureVector

getAttributes() - Method in class affective.core.ArffLexiconWordLabeller

Gets the feature names

getCapabilities() - Method in class weka.filters.supervised.attribute.PMILexiconExpander

getCapabilities() - Method in class weka.filters.unsupervised.attribute.LabelWordVectors

getCapabilities() - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

getCapabilities() - Method in class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

getCapabilities() - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

getCharNgramMaxDim() - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

getCharNgramMinDim() - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

getClustNgramMaxDim() - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

getDict() - Method in class affective.core.IntensityLexiconEvaluator

Gets the dictionary mapping the words to their vectors

getDict() - Method in class affective.core.NRCEmotionLexiconEvaluator

Gets the dictionary mapping the words to their emotion associations

getDict() - Method in class affective.core.NRCExpandedEmotionLexiconEvaluator

Gets the dictionary mapping the words to their emotion associations

getDict() - Method in class affective.core.NRCHashtagEmotionLexiconEvaluator

Gets the dictionary mapping the words to their emotion associations

getDict() - Method in class affective.core.PolarityLexiconEvaluator

Gets the dictionary mapping the words to their sentiment

getDimensions() - Method in class affective.core.EmbeddingHandler

Gets the dimensions variable

getEmbeddingHandler() - Method in class weka.filters.unsupervised.attribute.TweetToEmbeddingsFeatureVector

getEmbeddingsFile() - Method in class affective.core.CSVEmbeddingHandler

getFeatureNames() - Method in class affective.core.ArffLexiconEvaluator

Gets the feature names

getFeatureNames() - Method in class affective.core.LexiconEvaluator

Gets the feature names

getK() - Method in class weka.filters.unsupervised.attribute.TweetToEmbeddingsFeatureVector

getLangFolder() - Method in class weka.filters.unsupervised.attribute.TweetToSentiStrengthFeatureVector

getLexicon() - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

getLexicon() - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

getLexiconEval() - Method in class weka.filters.unsupervised.attribute.TweetToInputLexiconFeatureVector

getLexiconFile() - Method in class affective.core.ArffLexiconEvaluator

getLexiconFile() - Method in class affective.core.ArffLexiconWordLabeller

getLexiconLabs() - Method in class weka.filters.unsupervised.attribute.LabelWordVectors

getLexiconName() - Method in class affective.core.ArffLexiconEvaluator

getLexiconName() - Method in class affective.core.ArffLexiconWordLabeller

getLexiconWordIndex() - Method in class affective.core.ArffLexiconEvaluator

getLexiconWordIndex() - Method in class affective.core.ArffLexiconWordLabeller

getMinAttDocs() - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

getMinAttDocs() - Method in class weka.filters.unsupervised.attribute.TweetCentroid

getMinAttDocs() - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

getMinFreq() - Method in class weka.filters.supervised.attribute.PMILexiconExpander

getMinInstDocs() - Method in class weka.filters.unsupervised.attribute.PTCM

getMinInstDocs() - Method in class weka.filters.unsupervised.attribute.TweetCentroid

getNegClassValue() - Method in class weka.filters.supervised.attribute.PMILexiconExpander

getNomDict() - Method in class affective.core.ArffLexiconEvaluator

Gets the dictionary with nominal attributes

getNumNegInstances() - Method in class weka.filters.unsupervised.attribute.ASA

getNumPosInstances() - Method in class weka.filters.unsupervised.attribute.ASA

getOptions() - Method in class affective.core.ArffLexiconEvaluator

getOptions() - Method in class affective.core.ArffLexiconWordLabeller

getOptions() - Method in class affective.core.EmbeddingHandler

getOptions() - Method in class weka.filters.unsupervised.attribute.LabelWordVectors

getOptions() - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

getOptions() - Method in class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

getOptions() - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

getPartNumber() - Method in class weka.filters.unsupervised.attribute.PTCM

getPolarityAttName() - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

getPolarityAttName() - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

getPolarityAttNegValName() - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

getPolarityAttNegValName() - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

getPolarityAttPosValName() - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

getPolarityAttPosValName() - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

getPosClassValue() - Method in class weka.filters.supervised.attribute.PMILexiconExpander

getPosNgramMaxDim() - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

getPOStags(List<String>) - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

Returns POS tags from a List of tokens using the CMU TweetNLP tool

getRandomSeed() - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

getRevision() - Method in class weka.core.tokenizers.TweetNLPTokenizer

Returns the revision string.

getSeparator() - Method in class affective.core.CSVEmbeddingHandler

getSeparator() - Method in class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

getStemmer() - Method in class affective.core.ArffLexiconEvaluator

getStemmer() - Method in class affective.core.ArffLexiconWordLabeller

getStemmer() - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

getStopwordsHandler() - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

getTaggerFile() - Method in class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

getTaggerFile() - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

getTechnicalInformation() - Method in class weka.core.tokenizers.TweetNLPTokenizer

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

getTechnicalInformation() - Method in class weka.filters.supervised.attribute.PMILexiconExpander

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.ASA

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.PTCM

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.TweetCentroid

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.TweetToEmbeddingsFeatureVector

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.TweetToSentiStrengthFeatureVector

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

getTextIndex() - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

getTextIndex() - Method in class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

getTextIndex() - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

getTokenizer() - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

getTokenizer() - Method in class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

getTokenizer() - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

getTweetsPerCentroid() - Method in class weka.filters.unsupervised.attribute.ASA

getWord(String) - Method in class affective.core.NRCEmotionLexiconEvaluator

Gets the emotions for a word

getWord(String) - Method in class affective.core.NRCExpandedEmotionLexiconEvaluator

Gets the emotions for a word

getWord(String) - Method in class affective.core.NRCHashtagEmotionLexiconEvaluator

Gets the emotions for a word

getWordClustFile() - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

getWordClustFile() - Method in class weka.filters.unsupervised.attribute.TweetCentroid

getWordClustFile() - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

getWordIndex() - Method in class weka.filters.unsupervised.attribute.LabelWordVectors

getWordList() - Method in class affective.core.NegationEvaluator

Gets the negating words

getWordList() - Method in class weka.filters.unsupervised.attribute.TweetToWordListCountFeatureVector

getWordMap() - Method in class affective.core.EmbeddingHandler

Gets the dictionary mapping the words to their vectors

getWordNameIndex() - Method in class affective.core.CSVEmbeddingHandler

getWordNgramMaxDim() - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

globalInfo() - Method in class affective.core.ArffLexiconEvaluator

Returns a string describing this filter.

globalInfo() - Method in class affective.core.ArffLexiconWordLabeller

Returns a string describing this filter.

globalInfo() - Method in class affective.core.CSVEmbeddingHandler

Returns a string describing this filter.

globalInfo() - Method in class weka.core.tokenizers.TweetNLPTokenizer

Returns a string describing this tokenizer.

globalInfo() - Method in class weka.filters.supervised.attribute.PMILexiconExpander

globalInfo() - Method in class weka.filters.unsupervised.attribute.ASA

globalInfo() - Method in class weka.filters.unsupervised.attribute.LabelWordVectors

Returns a string describing this filter.

globalInfo() - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

globalInfo() - Method in class weka.filters.unsupervised.attribute.PTCM

globalInfo() - Method in class weka.filters.unsupervised.attribute.TweetCentroid

globalInfo() - Method in class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

globalInfo() - Method in class weka.filters.unsupervised.attribute.TweetToEmbeddingsFeatureVector

Returns a string describing this filter.

globalInfo() - Method in class weka.filters.unsupervised.attribute.TweetToInputLexiconFeatureVector

Returns a string describing this filter.

globalInfo() - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

Returns a string describing this filter.

globalInfo() - Method in class weka.filters.unsupervised.attribute.TweetToSentiStrengthFeatureVector

Returns a string describing this filter.

globalInfo() - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

Returns a string describing this filter.

globalInfo() - Method in class weka.filters.unsupervised.attribute.TweetToWordListCountFeatureVector

Returns a string describing this filter.

H

hasMoreElements() - Method in class weka.core.tokenizers.TweetNLPTokenizer

Tests if this enumeration contains more elements.

HumanCodedToArff - Class in weka.core.converters

Builds an arff dataset from the 6HumanCoded collection of tweets for sentiment analysis.

HumanCodedToArff() - Constructor for class weka.core.converters.HumanCodedToArff

I

initializeTagger() - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

Initializes the POS tagger

initiliazeNegationEvaluator() - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

Initializes the NegationEvaluator object

IntensityLexiconEvaluator - Class in affective.core

This class is used for evaluating lexicons with numerical sentiment scores.

IntensityLexiconEvaluator(String, String) - Constructor for class affective.core.IntensityLexiconEvaluator

Initializes the Object

isCalculateCharNgram() - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

isCreateClustAtts() - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

isCreateClustAtts() - Method in class weka.filters.unsupervised.attribute.TweetCentroid

isCreateWordAtts() - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

isCreateWordAtts() - Method in class weka.filters.unsupervised.attribute.TweetCentroid

isExclusiveSets() - Method in class weka.filters.unsupervised.attribute.ASA

isFreqWeights() - Method in class weka.filters.unsupervised.attribute.TweetCentroid

isFreqWeights() - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

isIncludeMetaData() - Method in class weka.filters.unsupervised.attribute.TweetCentroid

isNegateTokens() - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

isReduceRepeatedLetters() - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

isRemoveMatchingWord() - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

isStandarizeUrlsUsers() - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

isToLowerCase() - Method in class weka.filters.unsupervised.attribute.LabelWordVectors

isToLowerCase() - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

isUseAfinn() - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

isUseBingLiu() - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

isUseEmoticons() - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

isUseMpqa() - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

isUseNegation() - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

isUseNrc10() - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

isUseNrc10Expanded() - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

isUseNrcHashEmo() - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

isUseNrcHashSent() - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

isUseS140() - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

isUseSentiWordnet() - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

L

LabelWordVectors - Class in weka.filters.unsupervised.attribute

A filter for labeling word vectors using a list of affective lexicons in arff format.

LabelWordVectors() - Constructor for class weka.filters.unsupervised.attribute.LabelWordVectors

LEXICON_FOLDER_NAME - Static variable in class affective.core.ArffLexiconEvaluator

Default path to where lexicons are stored.

LEXICON_FOLDER_NAME - Static variable in class affective.core.ArffLexiconWordLabeller

Default path to where lexicons are stored.

LEXICON_FOLDER_NAME - Static variable in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

Default path to where lexicons are stored.

LEXICON_FOLDER_NAME - Static variable in class weka.filters.unsupervised.attribute.LabelWordVectors

Default path to where lexicons are stored.

LEXICON_FOLDER_NAME - Static variable in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

Default path to where lexicons are stored

LEXICON_FOLDER_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetToInputLexiconFeatureVector

Default path to where lexicons are stored.

LEXICON_FOLDER_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

Default path to where lexicons are stored.

LEXICON_FOLDER_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetToSentiStrengthFeatureVector

Default path to where lexicons are stored.

LexiconDistantSupervision - Class in weka.filters.unsupervised.attribute

A lexicon-based distant supervision method for training polarity classifiers in Twitter in the absence of labeled data.

LexiconDistantSupervision() - Constructor for class weka.filters.unsupervised.attribute.LexiconDistantSupervision

LexiconEvaluator - Class in affective.core

This abstract class provides the structure for all classes calculating attributes from lexicons.

LexiconEvaluator(String, String) - Constructor for class affective.core.LexiconEvaluator

initializes the Object

listOptions() - Method in class affective.core.ArffLexiconEvaluator

listOptions() - Method in class affective.core.ArffLexiconWordLabeller

listOptions() - Method in class affective.core.EmbeddingHandler

listOptions() - Method in class weka.filters.unsupervised.attribute.LabelWordVectors

listOptions() - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

listOptions() - Method in class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

listOptions() - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

M

main(String[]) - Static method in class weka.core.converters.HumanCodedToArff

Main method for testing this class.

main(String[]) - Static method in class weka.core.converters.NRCAffectToArff

Main method for testing this class.

main(String[]) - Static method in class weka.core.converters.SemEvalToArff

Main method for testing this class.

main(String[]) - Static method in class weka.core.tokenizers.TweetNLPTokenizer

Runs the tokenizer with the given options and strings to tokenize.

main(String[]) - Static method in class weka.filters.supervised.attribute.PMILexiconExpander

Main method for testing this class.

main(String[]) - Static method in class weka.filters.unsupervised.attribute.ASA

Main method for testing this class.

main(String[]) - Static method in class weka.filters.unsupervised.attribute.LabelWordVectors

Main method for testing this class.

main(String[]) - Static method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

Main method for testing this class.

main(String[]) - Static method in class weka.filters.unsupervised.attribute.PTCM

Main method for testing this class.

main(String[]) - Static method in class weka.filters.unsupervised.attribute.TweetCentroid

Main method for testing this class.

main(String[]) - Static method in class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

Main method for testing this class.

main(String[]) - Static method in class weka.filters.unsupervised.attribute.TweetToEmbeddingsFeatureVector

Main method for testing this class.

main(String[]) - Static method in class weka.filters.unsupervised.attribute.TweetToInputLexiconFeatureVector

Main method for testing this class.

main(String[]) - Static method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

Main method for testing this class.

main(String[]) - Static method in class weka.filters.unsupervised.attribute.TweetToSentiStrengthFeatureVector

Main method for testing this class.

main(String[]) - Static method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

Main method for testing this class.

main(String[]) - Static method in class weka.filters.unsupervised.attribute.TweetToWordListCountFeatureVector

Main method for testing this class.

mapTargetInstance(Instances) - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

Maps tweets from the second batch into instances that are compatible with the ones generated

METALEX_FILE_NAME - Static variable in class affective.core.ArffLexiconWordLabeller

The path of the MetaLexLexicon default lexicon.

MPQA_FILE_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

The path of the MPQA lexicon.

N

negateTokens(List<String>, Set<String>) - Static method in class affective.core.Utils

Adds a negation prefix to the tokens that follow a negation word until the next punctuation mark.

NEGATION_LIST_FILE_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

The path of the negation list.

NegationEvaluator - Class in affective.core

This class is used for counting the number of negation words in a tweet.

NegationEvaluator(String, String) - Constructor for class affective.core.NegationEvaluator

Initializes the Object

nextElement() - Method in class weka.core.tokenizers.TweetNLPTokenizer

Returns the next element of this enumeration if this enumeration object has at least one more element to provide.

NRC10_EXPANDED_FILE_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

The path of the NRC-10-Expanded lexicon.

NRC10_FILE_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

The path of the NRC-emotion lexicon.

NRC_AFFECT_INTENSITY_FILE_NAME - Static variable in class affective.core.ArffLexiconEvaluator

The path of the default lexicon.

NRC_AFFECT_INTENSITY_FILE_NAME - Static variable in class weka.filters.unsupervised.attribute.LabelWordVectors

The path of the default lexicon.

NRC_AFFECT_INTENSITY_FILE_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetToInputLexiconFeatureVector

The path of the MPQA lexicon

NRC_HASH_EMO_FILE_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

The path of the NRC Hashtag Emotion lexicon.

NRC_HASH_SENT_FILE_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

The path of the NRC-Hashtag-Sentiment lexicon.

NRCAffectToArff - Class in weka.core.converters

Builds an arff dataset from the NRC Affective Lexicon.

NRCAffectToArff() - Constructor for class weka.core.converters.NRCAffectToArff

NRCEmotionLexiconEvaluator - Class in affective.core

This class is used for evaluating the NRC-10 Emotion Lexicon

NRCEmotionLexiconEvaluator(String, String) - Constructor for class affective.core.NRCEmotionLexiconEvaluator

initializes the Object

NRCExpandedEmotionLexiconEvaluator - Class in affective.core

This class is used for evaluating the NRC-10 Expanded Emotion Lexicon.

NRCExpandedEmotionLexiconEvaluator(String, String) - Constructor for class affective.core.NRCExpandedEmotionLexiconEvaluator

initializes the Object

NRCHashtagEmotionLexiconEvaluator - Class in affective.core

This class is used for evaluating the NRC Hashtag Emotion Lexicon.

NRCHashtagEmotionLexiconEvaluator(String, String) - Constructor for class affective.core.NRCHashtagEmotionLexiconEvaluator

initializes the Object

P

PMILexiconExpander - Class in weka.filters.supervised.attribute

Calculates the Pointwise Mutual Information (PMI) semantic orientation for each word in a corpus of tweets annotated by sentiment.

PMILexiconExpander() - Constructor for class weka.filters.supervised.attribute.PMILexiconExpander

PolarityLexiconEvaluator - Class in affective.core

This class is used for evaluating the polarity lexicons with positive and negative nominal entries.

PolarityLexiconEvaluator(String, String) - Constructor for class affective.core.PolarityLexiconEvaluator

initializes the Object

processDict() - Method in class affective.core.ArffLexiconEvaluator

Processes all the dictionary files.

processDict() - Method in class affective.core.ArffLexiconWordLabeller

Processes all the dictionary files.

processDict() - Method in class affective.core.IntensityLexiconEvaluator

processDict() - Method in class affective.core.LexiconEvaluator

initializes the dictionary

processDict() - Method in class affective.core.NegationEvaluator

processDict() - Method in class affective.core.NRCEmotionLexiconEvaluator

processDict() - Method in class affective.core.NRCExpandedEmotionLexiconEvaluator

processDict() - Method in class affective.core.NRCHashtagEmotionLexiconEvaluator

processDict() - Method in class affective.core.PolarityLexiconEvaluator

processDict() - Method in class affective.core.SentiStrengthEvaluator

processDict() - Method in class affective.core.SWN3LexiconEvaluator

PTCM - Class in weka.filters.unsupervised.attribute

Partitioned Tweet Centroid Model (PTCM) is a lexicon-based distant supervision method for training polarity classifiers in Twitter in the absence of labeled data.

PTCM() - Constructor for class weka.filters.unsupervised.attribute.PTCM

R

RESOURCES_FOLDER_NAME - Static variable in class affective.core.CSVEmbeddingHandler

Default path to where resources are stored.

RESOURCES_FOLDER_NAME - Static variable in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

Default path to where resources are stored.

RESOURCES_FOLDER_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetCentroid

Default path to where resources are stored.

RESOURCES_FOLDER_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

Default path to where resources are stored.

RESOURCES_FOLDER_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetToEmbeddingsFeatureVector

Default path to where resources are stored.

RESOURCES_FOLDER_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

Default path to where resources are stored.

retrieveValue(String) - Method in class affective.core.IntensityLexiconEvaluator

returns the score associated with a word

retrieveValue(String) - Method in class affective.core.PolarityLexiconEvaluator

returns the sentiment associated with a word

S

S140_FILE_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

The path of the S140 lexicon.

SemEvalToArff - Class in weka.core.converters

Builds an arff dataset from the SemEval collection of tweets for sentiment analysis.

SemEvalToArff() - Constructor for class weka.core.converters.SemEvalToArff

SENTISTRENGTH_FOLDER_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetToSentiStrengthFeatureVector

The path of SentiStrength.

SentiStrengthEvaluator - Class in affective.core

This class is used for evaluating a tweet with SentiStrength.

SentiStrengthEvaluator(String, String) - Constructor for class affective.core.SentiStrengthEvaluator

initializes the Object

SENTIWORDNET_FILE_NAME - Static variable in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

The path of SentiWordnet.

setAction(TweetToEmbeddingsFeatureVector.Action) - Method in class weka.filters.unsupervised.attribute.TweetToEmbeddingsFeatureVector

setCalculateCharNgram(boolean) - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

setCharNgramMaxDim(int) - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

setCharNgramMinDim(int) - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

setClustNgramMaxDim(int) - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

setCreateClustAtts(boolean) - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

setCreateClustAtts(boolean) - Method in class weka.filters.unsupervised.attribute.TweetCentroid

setCreateWordAtts(boolean) - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

setCreateWordAtts(boolean) - Method in class weka.filters.unsupervised.attribute.TweetCentroid

setEmbeddingHandler(EmbeddingHandler) - Method in class weka.filters.unsupervised.attribute.TweetToEmbeddingsFeatureVector

setEmbeddingsFile(File) - Method in class affective.core.CSVEmbeddingHandler

setExclusiveSets(boolean) - Method in class weka.filters.unsupervised.attribute.ASA

setFreqWeights(boolean) - Method in class weka.filters.unsupervised.attribute.TweetCentroid

setFreqWeights(boolean) - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

setIncludeMetaData(boolean) - Method in class weka.filters.unsupervised.attribute.TweetCentroid

setK(int) - Method in class weka.filters.unsupervised.attribute.TweetToEmbeddingsFeatureVector

setLangFolder(File) - Method in class weka.filters.unsupervised.attribute.TweetToSentiStrengthFeatureVector

Sets the folder with the SentiStrength files.

setLexicon(File) - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

setLexicon(File) - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

setLexiconEval(ArffLexiconEvaluator[]) - Method in class weka.filters.unsupervised.attribute.TweetToInputLexiconFeatureVector

setLexiconFile(File) - Method in class affective.core.ArffLexiconEvaluator

setLexiconFile(File) - Method in class affective.core.ArffLexiconWordLabeller

setLexiconLabs(ArffLexiconWordLabeller[]) - Method in class weka.filters.unsupervised.attribute.LabelWordVectors

setLexiconName(String) - Method in class affective.core.ArffLexiconEvaluator

setLexiconName(String) - Method in class affective.core.ArffLexiconWordLabeller

setLexiconWordIndex(String) - Method in class affective.core.ArffLexiconEvaluator

setLexiconWordIndex(String) - Method in class affective.core.ArffLexiconWordLabeller

setMinAttDocs(int) - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

setMinAttDocs(int) - Method in class weka.filters.unsupervised.attribute.TweetCentroid

setMinAttDocs(int) - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

setMinFreq(int) - Method in class weka.filters.supervised.attribute.PMILexiconExpander

setMinInstDocs(int) - Method in class weka.filters.unsupervised.attribute.PTCM

setMinInstDocs(int) - Method in class weka.filters.unsupervised.attribute.TweetCentroid

setNegateTokens(boolean) - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

setNegClassValue(String) - Method in class weka.filters.supervised.attribute.PMILexiconExpander

setNumNegInstances(int) - Method in class weka.filters.unsupervised.attribute.ASA

setNumPosInstances(int) - Method in class weka.filters.unsupervised.attribute.ASA

setOptions(String[]) - Method in class affective.core.ArffLexiconEvaluator

setOptions(String[]) - Method in class affective.core.ArffLexiconWordLabeller

setOptions(String[]) - Method in class affective.core.EmbeddingHandler

Parses the options for this object.

setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.LabelWordVectors

setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

Parses the options for this object.

setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

Parses the options for this object.

setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

setPartNumber(int) - Method in class weka.filters.unsupervised.attribute.PTCM

setPolarityAttName(String) - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

setPolarityAttName(String) - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

setPolarityAttNegValName(String) - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

setPolarityAttNegValName(String) - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

setPolarityAttPosValName(String) - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

setPolarityAttPosValName(String) - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

setPosClassValue(String) - Method in class weka.filters.supervised.attribute.PMILexiconExpander

setPosNgramMaxDim(int) - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

setRandomSeed(int) - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

setReduceRepeatedLetters(boolean) - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

setRemoveMatchingWord(boolean) - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

setSeparator(String) - Method in class affective.core.CSVEmbeddingHandler

setSeparator(String) - Method in class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

setStandarizeUrlsUsers(boolean) - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

setStemmer(Stemmer) - Method in class affective.core.ArffLexiconEvaluator

setStemmer(Stemmer) - Method in class affective.core.ArffLexiconWordLabeller

setStemmer(Stemmer) - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

setStopwordsHandler(StopwordsHandler) - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

setTaggerFile(File) - Method in class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

setTaggerFile(File) - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

setTextIndex(String) - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

setTextIndex(String) - Method in class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

setTextIndex(String) - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

setTokenizer(Tokenizer) - Method in class weka.filters.unsupervised.attribute.LexiconDistantSupervision

setTokenizer(Tokenizer) - Method in class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

setTokenizer(Tokenizer) - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

setToLowerCase(boolean) - Method in class weka.filters.unsupervised.attribute.LabelWordVectors

Sets the value of the lowercase flag.

setToLowerCase(boolean) - Method in class weka.filters.unsupervised.attribute.TweetToFeatureVector

setTweetsPerCentroid(int) - Method in class weka.filters.unsupervised.attribute.ASA

setUseAfinn(boolean) - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

setUseBingLiu(boolean) - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

setUseEmoticons(boolean) - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

setUseMpqa(boolean) - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

setUseNegation(boolean) - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

setUseNrc10(boolean) - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

setUseNrc10Expanded(boolean) - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

setUseNrcHashEmo(boolean) - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

setUseNrcHashSent(boolean) - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

setUseS140(boolean) - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

setUseSentiWordnet(boolean) - Method in class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

setWordClustFile(File) - Method in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

setWordClustFile(File) - Method in class weka.filters.unsupervised.attribute.TweetCentroid

setWordClustFile(File) - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

setWordIndex(String) - Method in class weka.filters.unsupervised.attribute.LabelWordVectors

setWordList(String) - Method in class weka.filters.unsupervised.attribute.TweetToWordListCountFeatureVector

setWordNameIndex(String) - Method in class affective.core.CSVEmbeddingHandler

setWordNgramMaxDim(int) - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

SWN3LexiconEvaluator - Class in affective.core

This class is used for evaluating SentiWordnet.

SWN3LexiconEvaluator(String, String) - Constructor for class affective.core.SWN3LexiconEvaluator

initializes the Object

T

tagTweet(String) - Method in class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

Returns POS-tagger String from a given String using the CMU TweetNLP tool

tokenize(String, boolean, boolean, boolean, Tokenizer, Stemmer, StopwordsHandler) - Static method in class affective.core.Utils

Tokenizes a String

tokenize(String) - Method in class weka.core.tokenizers.TweetNLPTokenizer

Sets the string to tokenize.

TweetCentroid - Class in weka.filters.unsupervised.attribute

A filter that creates word vectors from tweets using the Tweet Centroid Model.

TweetCentroid() - Constructor for class weka.filters.unsupervised.attribute.TweetCentroid

TweetCollectionToArff - Class in weka.core.converters

Builds an arff dataset from a collection of tweets in a given file.

TweetCollectionToArff() - Constructor for class weka.core.converters.TweetCollectionToArff

TweetNLPPOSTagger - Class in weka.filters.unsupervised.attribute

A Twitter-specific POS tagger based on the CMU TwitterNLP library: http://www.cs.cmu.edu/~ark/TweetNLP/ BibTeX:

TweetNLPPOSTagger() - Constructor for class weka.filters.unsupervised.attribute.TweetNLPPOSTagger

TweetNLPTokenizer - Class in weka.core.tokenizers

A Twitter-specific tokenizer based on the CMU TwitterNLP library: http://www.cs.cmu.edu/~ark/TweetNLP/ BibTeX:

TweetNLPTokenizer() - Constructor for class weka.core.tokenizers.TweetNLPTokenizer

tweetsToVectors(Instances) - Method in class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

Processes a batch of tweets.

TweetToEmbeddingsFeatureVector - Class in weka.filters.unsupervised.attribute

An attribute filter that calculates word embedding (word vectors) features for a tweet represented as a string attribute.

TweetToEmbeddingsFeatureVector() - Constructor for class weka.filters.unsupervised.attribute.TweetToEmbeddingsFeatureVector

TweetToFeatureVector - Class in weka.filters.unsupervised.attribute

An abstract Weka filter for calculating attributes from tweets.

TweetToFeatureVector() - Constructor for class weka.filters.unsupervised.attribute.TweetToFeatureVector

TweetToInputLexiconFeatureVector - Class in weka.filters.unsupervised.attribute

A filter that calculates attributes for a tweet using a list of affective lexicons in arff format.

TweetToInputLexiconFeatureVector() - Constructor for class weka.filters.unsupervised.attribute.TweetToInputLexiconFeatureVector

TweetToLexiconFeatureVector - Class in weka.filters.unsupervised.attribute

An attribute filter that calculates lexicon-based features for a tweet represented as a string attribute.

TweetToLexiconFeatureVector() - Constructor for class weka.filters.unsupervised.attribute.TweetToLexiconFeatureVector

TweetToSentiStrengthFeatureVector - Class in weka.filters.unsupervised.attribute

An attribute filter that calculates positive and negative scores using SentiStrength for a tweet represented as a string attribute.

TweetToSentiStrengthFeatureVector() - Constructor for class weka.filters.unsupervised.attribute.TweetToSentiStrengthFeatureVector

TweetToSparseFeatureVector - Class in weka.filters.unsupervised.attribute

An attribute filter that calculates different types of sparse features for a tweet represented as a string attribute.

TweetToSparseFeatureVector() - Constructor for class weka.filters.unsupervised.attribute.TweetToSparseFeatureVector

TweetToWordListCountFeatureVector - Class in weka.filters.unsupervised.attribute

TweetToWordListCountFeatureVector() - Constructor for class weka.filters.unsupervised.attribute.TweetToWordListCountFeatureVector

U

UNIPREFIX - Static variable in class weka.filters.unsupervised.attribute.DistantSupervisionSyntheticFilter

The prefix for unigram attributes.

Utils - Class in affective.core

Provides static functions for String processing.

Utils() - Constructor for class affective.core.Utils

W

weka.core.converters - package weka.core.converters

weka.core.tokenizers - package weka.core.tokenizers

weka.filters.supervised.attribute - package weka.filters.supervised.attribute

weka.filters.unsupervised.attribute - package weka.filters.unsupervised.attribute

wordList - Variable in class weka.filters.unsupervised.attribute.TweetToWordListCountFeatureVector

Default path to where lexicons are stored.

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