The workflow describes a simple use case how Neo4j Graph Data Science and Knime algorithms can be used together.

This example shows how to transform a document into a vector using a word vector model and using these vectors for classification…

The workflow describes a simple use case how Neo4j Graph Data Science and Knime algorithms can be used together.

In this workflow we are using BERT embeddings to detect sarcasm in texts. Other cases for embeddings are also considered: using P…

The workflow describes a simple use case how Neo4j Graph Data Science and Knime algorithms can be used together.

This Wokflow demonstrates the usage of BERT Embeddings for the Content based recommendations for movie. The text is prepared in w…

This example shows how to perform sentiment classification using word vectors. In this example, we use IMDb reviews which have ei…

First, we read in a dataset containing sentences and assign each document a unique label. The unique label is used to create a do…

This example shows how to perform sentiment classification using word vectors. In this example, we use IMDb reviews which have ei…

First, we read in a dataset containing sentences and assign each document a unique label. The unique label is used to create a do…