Lacuna FAQ

What is Lacuna Document Classification Engine?

Lacuna Document Classification Engine, or just Lacuna for short, is an application that assigns documents to categories based on the content of the documents. For example, it is common in sentiment analysis to have the two categories positive and negative. With Lacuna you can determine which category (positive or negative) that a document most closely resembles.

What are some applications of Lacuna Document Classification Engine?

Document classification is common in the areas of sentiment analysis, document organization in document management systems, and custom NLP pipeline applications.

How does Lacuna Document Classification Engine work?

Lacuna works by utilizing deep learning algorithms. These algorithms are used to train a model that is capable of assigning documents to predefined categories. Lacuna supports GPU environments for increased performance during training and classification.

How do I integrate with Lacuna Document Classification Engine?

Lacuna offers a REST API to perform document classification. Simply submit your document to Lacuna’s API and receive back the results of the classification. Client SDKs are available or you can create your own custom client to interact with Lacuna’s API.

Can I control Lacuna’s classification process?

Yes. You can train Lacuna with your own documents.

Can Lacuna be used behind a firewall?

Yes. Lacuna requires no outside network access making Lacuna ideal for secure environments behind strict firewalls.

What does “Lacuna” mean?

“Lacuna” is a literary term meaning a gap in some work. We feel the name is appropriate for a document classification engine because the application fills a gap in NLP pipelines by allowing the pipelines to be more fluid and less rigid.