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Word2Vec Learner (Tensorflow)

Community NodesWord2Vec
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To perform the actual training, hierarchical softmax and negative sampling are both available. The node uses Tensorflow as engine to speed up the pre-processing and to fit the model. Given the presence of a CUDA compatible NVIDIA GPU, training can be performed on the GPU.

Node details

Input ports
  1. Type: Table
    Table with string column

    A KNIME table with a string column to use for Word2Vec training

Output ports
  1. Type: Table
    Table of embeddings

    A KNIME table with three columns: the index of the token/the word, the token itself and the embedding for the token as a collection (KNIME native list).

Extension

The Word2Vec Learner (Tensorflow) node is part of this extension:

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