Class | Description |
---|---|
ASA |
A batch filter that creates polarity labeled instances from unlabeled tweets and a seed polarity lexicon using the Annotate-Sample-Average Algorithm.
|
DistantSupervisionSyntheticFilter |
An abstract filter that creates polarity labeled instances from unlabeled tweets and a seed polarity lexicon by
generating synthetic instances.
|
LabelWordVectors |
A filter for labeling word vectors using a list of affective lexicons in arff format.
|
LexiconDistantSupervision |
A lexicon-based distant supervision method for training polarity classifiers in Twitter in the absence of labeled data.
|
PTCM |
Partitioned Tweet Centroid Model (PTCM) is a lexicon-based distant supervision method for training polarity classifiers in Twitter in the absence of labeled data.
|
TweetCentroid |
A filter that creates word vectors from tweets using the Tweet Centroid Model.
|
TweetNLPPOSTagger |
A Twitter-specific POS tagger based on the CMU TwitterNLP library: http://www.cs.cmu.edu/~ark/TweetNLP/
BibTeX:
|
TweetToEmbeddingsFeatureVector |
An attribute filter that calculates word embedding (word vectors) features
for a tweet represented as a string attribute.
|
TweetToFeatureVector |
An abstract Weka filter for calculating attributes from tweets.
|
TweetToInputLexiconFeatureVector |
A filter that calculates attributes for a tweet using a list of affective lexicons in arff format.
|
TweetToLexiconFeatureVector |
An attribute filter that calculates lexicon-based features
for a tweet represented as a string attribute.
|
TweetToSentiStrengthFeatureVector |
An attribute filter that calculates positive and negative scores using
SentiStrength for a tweet represented as a string attribute.
|
TweetToSparseFeatureVector |
An attribute filter that calculates different types of sparse features
for a tweet represented as a string attribute.
|
TweetToWordListCountFeatureVector |