Introducing Primer Engines

19

Custom Entity Detection

Move beyond people, places, and organizations and identify other entities in the text. Types of entities can be customized by the user for specific needs, such as medical conditions, vehicle types, weapons, products, and key dates.

Example

The metastudy finds an association between pesticide exposure and higher risk of leukemia and lymphoma in exposed residents, particularly children.

Output[leukemia]

type:

medical condition

confidence:

0.96

[lymphoma]

type:

medical condition

confidence:

0.95

Example

The metastudy finds an association between pesticide exposure and higher risk of leukemia and lymphoma in exposed residents, particularly children.

Output[leukemia]

type:

medical condition

confidence:

0.96

[lymphoma]

type:

medical condition

confidence:

0.95

Request A Demo Request A Demo _

Back

Try Engines for Free

01

Get Started for Free

02

Test Our Engines

Test our API on your data.

03

Integrate at Scale

Once you've seen the power of engines, build your own scalable engine pipelines.

Get Started For Free Get Started For Free _

Named Entity Recognition

Identify people, locations, and organizations within a body of text.

Explore

Coreference Resolution

Identify who the words “he,” “she,” and “they” are referring to.

Explore

Relation Extraction

Identify relationships between entities.

Explore

Classifiers

Categorize any kind of text.

Explore

Sentiment Analysis

Classify text as positive, negative, or neutral, returned as a classifier.

Explore

Topic Modeling

Identify the topic that the text is talking about without the need for training or ontology.

Explore

Summarization

Summarize a document to meet your needs and identify the key information.

Explore

Key Phrase Extraction

Automatically identify and extract the key information within a document.

Explore

Explainability

See what parts of the text the models are using for your predictions.

Explore

Synthetic Text Detection

Classify text as likely to have been written by a human or a machine.

Explore

Claims Detection and Dispute Resolution

Identify claims within any text and determine if these claims are supported or refute other claims.

Explore

Jargon Detection and Explanation

Identify jargon and industry acronyms within the text and link it to an explanation of the terms.

Explore

Quotes Attribution

Extract a quote and its author from a body of text.

Explore

Title Generator

Generate a human-quality title or headline for a body of text.

Explore

Question Answering

Answer specific questions about a body of text.

Explore

DIMEFIL

Classify a piece of text as being related to Diplomacy, Information Operations, Military, International Economics, Illicit Finance, Intelligence, and Law Enforcement.

Explore