AI Text Engines
Entity Extraction
Classify entities in text into categories such as people or places.
Entity Extraction runs on the aiWARE Enterprise AI platform, which orchestrates a diverse ecosystem of ready-to-deploy machine learning models to transform audio, video, text, and other data sources into actionable intelligence, at scale, with no AI expertise. With aiWARE, leverage digital workers to save manual review time, gain valuable data insights, and cognitively enrich end-to-end workflows.
Entity Extraction — often known as named-entity recognition — engines in the Veritone cognitive engine ecosystem classify words and phrases found in unstructured text into predefined categories, such as people, organizations, and locations.
Entity extraction cognitive engines can also denote the time or date which assists during pre-processing large volumes of data.
Entity Extraction Features:
![engine library icon]( "ico_pretrainedLibrary")
Pre-Trained Entity LibraryLabel words, phrases, and concepts text by people, places, organizations, locations, product, title, nationality, religion, credit card number, email address, money, personal identification numbers, URL, dates, time, distance, longitude and latitude, and more to support diverse, time-saving use cases.
![future proof icon]( "ico_future")
Near Real-Time ProcessingProcess text files in near real-time for use cases requiring entity extraction fast and at scale.
![]( "native_03_collections_icodeveoloper")
Long-Form Text SupportClassify short-form or long-form text files.
![]( "ico_deployment")
Flexible DeploymentDeploy in a new or integrate into an existing application in the cloud via aiWARE GraphQL APIs, or with a subset that can be deployed on-premise via a Docker container. Learn more.
![]( "ico_engines")
Powered by an AI EcosystemLeverage advanced entity extraction machine learning algorithms from the Veritone managed cognitive engine ecosystem — including algorithms from Veritone, niche providers, and industry giants.
