This node applies a Word Vector Model to Documents or Strings, meaning that every word contained in the text (tokenized by whitespace) will be replaced by the corresponding Word Vector if the word is available in the Word Vector dictionary. This will result in a list of Word Vectors. If specified, the node calculates the mean of these vectors resulting in a single representation of the input.
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.
To use this node in KNIME, install the extension KNIME Textprocessing - Deeplearning4J Integration (64bit only) from the below update site following our NodePit Product and Node Installation Guide:
A zipped version of the software site can be downloaded here.
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com, follow @NodePit on Twitter, or chat on Gitter!
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.