Please check the latest news (change log) and keep this package updated.
wordvec as the primary class of word vectors
data: Now the data classes contain wordvec,
data.table, and data.frame, which actually
perform as a data.table.train_wordvec() function: Train word vectors using
the Word2Vec, GloVe, or FastText algorithm
with multi-threading.tokenize() function: Tokenize raw texts for
training word vectors.data_wordvec_reshape() function: Reshape word
vectors data from dense (a data.table of new classs
wordvec with two variables word and
vec) to plain (a matrix of word vectors) or
vice versa.test_RND() function, and tab_WEAT() is
renamed to test_WEAT(): These two functions serve as
convenient tools of word semantic similarity analysis and conceptual
association test.plot_wordvec_tSNE() function: Visualize 2-D or 3-D
word vectors with dimensionality reduced using the t-Distributed
Stochastic Neighbor Embedding (t-SNE) method.data_wordvec_subset() function.unique argument for
tab_similarity().test_WEAT().