Speedy Word Embedding Association Test and Extras Using R

Documentation for package ‘sweater’ version 0.1.8

calculate_es	Calculate the effect size of a query
ect	Embedding Coherence Test
ect_es	Calculate the Spearman Coefficient of an ECT result
glove_math	A subset of the pretrained GLoVE word vectors
googlenews	A subset of the pretrained word2vec word vectors
mac	Mean average cosine similarity
mac_es	Calculation of MAC Effect Size
nas	Calculate Normalized Association Score
plot.sweater	Visualize the bias of words in S
plot_bias	Visualize the bias of words in S
plot_ect	Plot an ECT result on a two-dimensional plane
print.sweater	A common interface for making query
query	A common interface for making query
read_word2vec	A helper function for reading word2vec format
rnd	Relative Norm Distance
rnd_es	Calculation of sum of all relative norm distances
rnsb	Relative Negative Sentiment Bias
rnsb_es	Calculation the Kullback-Leibler divergence
semaxis	Characterise word semantics using the SemAxis framework
small_reddit	A subset of the pretrained word2vec word vectors on Reddit
weat	Speedy Word Embedding Association Test
weat_es	Calculation of WEAT effect size
weat_exact	Test of significance for WEAT
weat_resampling	Test of significance for WEAT