Data

This is where your unlabeled data resides. You can use HumanFirst to explore, organize and annotate your unlabeled data using the following capabilities:

Full-Text Search#

Search by keyword(s) and you will get an updated list of data containing your search query.

Semantic Search#

Semantic search allows you to surface semantically similar utterances from your unlabeled data.

Clustering#

Clustering helps group semantically similar utterances together. This can be helpful when trying to gauge the importance of a topic, or as a tool to quickly select large amounts of variations.

Explore by Similarity#

Explore by similarity helps surface unlabeled data that is similar to the selected intent.

Active Learning Sampling#

When using HumanFirst NLU as the active NLU engine, you can filter your unlabeled data by Margin Score, Uncertainty and Entropy.

Filters#

The data section also provides basic filters to help explore your data based on various criteria.