BowEmbedder(config)
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The bag of words Embedder encodes provided tokens as term counts over the vocabulary learned in training. |
Embedder(config)
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The Embedder step converts a word or phrase into a vector of numbers. |
SklearnTFIDFEmbedder(config)
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The TFIDF Embedder encodes provided text based on the sklearn TFIDF-Vectorizer. |
TermsExtractionEmbedder(config)
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The term extraction Embedder allows to extract significant terms provided textual data. |
TransformerEmbedder(config)
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The transformer Embedder encodes text based on a pre-trained transformers model. |