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@Vector semantics & embeddings
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Tags
word2vec
Model language
GloVe
fasttext
BERT
Gensim
NumPy
SciPy
sent2vec
doc2vec
Foundational models
Synopsis
This block focuses on embeddings — a framework that relies on ML/DL to learn word vectors. A series of examples and Python scripts show how to harness word vectors for the analysis of organizations and markets