This directory contains 21 workflows.
The workflow demonstrates how to appy BERT model for multi-label classification to identify the tags of the StackOverFlow posts.
The workflow describes a simple use case how Neo4j Graph Data Science and Knime algorithms can be used together.
The workflow describes a simple use case how Neo4j Graph Data Science and Knime algorithms can be used together.
This workflow was presented at the webinar "KNIME & Redfield Present State-of-the-Art Language Models, Now Available Through Low-Code/No-Code" on September […]
The workflow gives an example of how the Privacy extension nodes are used for data anonymization and risk assessment. A simple example is shown how to […]
In this workflow we are using BERT embeddings to detect sarcasm in texts. Other cases for embeddings are also considered: using PCA for dimensionality […]
Scraping Breaking Bad series subtitles with Selenium nodes and analysing with Redfield NLP Nodes extension. Demo shows how utilize Spacy nodes combined […]
This workflow shows how Spacy nodes can easily be integrated with Knime Text Processing nodes for topic modeling, terms co-occurence and terms importance […]
A simple workflow demostrating how to utilize all Spacy nodes in Knime. The example is given for Portuguese texts from Wikipedia.
In this workflow we classify the first messages from threads by their root topic. Messages are taken from popular Swedish forum flashback.org
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