“The network has really slowed down and we are missing a bunch of logs. It looks like our security systems are compromised…”
04
Classifiers
Organize, structure, and categorize pieces of text or a whole document.
Example 1
Output
class:
data breach
confidence:
0.89
Example 2
“32Red Customers See Other People’s Account Info in Technical Glitch“
Output
class:
data breach
confidence:
0.91
-
Named Entity Recognition
Identify people, locations, and organizations within a body of text.
-
Coreference Resolution
Identify who the words “he,” “she,” and “they” are referring to.
-
Relation Extraction
Identify relationships between entities.
-
Classifiers
Categorize any kind of text.
-
Sentiment Analysis
Classify text as positive, negative, or neutral, returned as a classifier.
-
Topic Modeling
Identify the topic that the text is talking about without the need for training or ontology.
-
Summarization
Summarize a document to meet your needs and identify the key information.
-
Key Phrase Extraction
Automatically identify and extract the key information within a document.
-
Explainability
See what parts of the text the models are using for your predictions.
-
Synthetic Text Detection
Classify text as likely to have been written by a human or a machine.
-
Claims Detection and Dispute Resolution
Identify claims within any text and determine if these claims are supported or refute other claims.
-
Jargon Detection and Explanation
Identify jargon and industry acronyms within the text and link it to an explanation of the terms.
-
Quotes Attribution
Extract a quote and its author from a body of text.
-
Title Generator
Generate a human-quality title or headline for a body of text.
-
Question Answering
Answer specific questions about a body of text.
-
DIMEFIL
Classify a piece of text as being related to Diplomacy, Information Operations, Military, International Economics, Illicit Finance, Intelligence, and Law Enforcement.
-
Location Extraction
Identify all the locations in a piece of text and connect them to a map.
-
Named Entity Linking
Link extracted entities with your knowledge graph or Primer’s knowledge base.
-
Custom Entity Detection
Move beyond people, places, and organizations and identify other entities.
-
Difference Engine
Determine the difference between two pieces of text or two versions.
-
Event Detection
Identify the real world events within any piece of text.
-
Event Linking
Connect events to form a timeline across your set of documents.