This directory contains 6 workflows.
After classic pre-processing (in streaming mode!) we: - extract the document keywords with a KeyGraph Keyword Extractor node. - we display the words […]
This workflow extracts topics from the KNIME Forum dataset using the Topic Extractor (Parallel LDA) node.
This is a workflow for topic classification. After converting the Documents into word vectors, it becomes a traditional classification problem which can […]
Word Embedding for Classification Word2Vec Learner node here is trained on a training set extracted from the Human AIDS vs. Mouse Cancer dataset to […]
Here we use word embedding instead of hot encoding, using a Word2Vec Learner node. The hidden layer size is set to 10, therefore producing an embedding with […]
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.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.