Extract features

Feature Extraction Agent

The feature extration agent can be used to mine information from text data. Either by using a prompt for guidance or by finding anything interesting. This can be used to featurize unstructured datasets (e.g. categorizing the genre of movie reviews) or to perform general text processing tasks (e.g. converting between US state names and codes).

This can be used in two modes. The On selected button will extract features from the labels of all selected nodes (or their successors if only one is selected). The On features button will treat the selected nodes as features and extract features from their data nodes using the header values as data. This mode can be used to combine multiple features. For example, to combine street name, number and city into a full address.

The resulting view will showc the extracted features alongside your chosen input nodes.

Example: Using the On selected mode to extract movie genres from descriptive plot overviews

Feature Describer

The Describer tells you the predecessor nodes that best “describe” your selection of nodes. By default, this description is by comparison to the other “background” nodes in the active view; open the settings by clicking the button in the bottom right for more advanced options.

Describing predecessors are presented in a table alongside their importance: large values of importance, whether positive or negative, indicate that a given predecessor is a good description of the selection. Positive importance values indicate that the predecessor is likely to connect to the selection of nodes or does so with a greater edge weight than the background nodes, negative values indicate the converse.

To see all of the describing predecessors and their importances in a view, click “Create View”.