Seed_Vectors: Word embeddings for seed dictionaries
In gandalfnicolas/ADCAT: Dictionary creation with stereotype content dictionaries

Word embeddings for seed dictionaries

1	Seed_Vectors

A data frame with 30 rows and 901 variables:

Dictionary: Name of the dictionary that the word embeddings are representing.
fasttext: variables starting in fasttext are the word embedding dimensions for Fasttext trained on 2 million word vectors trained with subword information on Common Crawl (https://fasttext.cc/docs/en/english-vectors.html)
Glove: variables starting in Glove are the word embedding dimensions for Glove trained on Common Crawl (840B tokens, 2.2M vocab, cased, 300d vectors; https://nlp.stanford.edu/projects/glove/) (https://fasttext.cc/docs/en/english-vectors.html)
W2v: variables starting in W2v are the word embedding dimensions for Word2vec trained Google News (https://code.google.com/archive/p/word2vec/)

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gandalfnicolas/ADCAT documentation built on April 15, 2020, 8:26 p.m.