Babel Street Entity Data
Babel Street Entity Data is information about people, places, organizations, events, and more that can be systematically identified and extracted from unstructured text. Babel Street’s advanced entity extraction and enrichment tools power Babel Street Semantic Search across languages.
Seamless extraction, enrichment, and discovery across languages
Diverse Entity Types
Common and specialized entity types, including persons, organizations, locations, dates, products, and events, along with geopolitical entities, artifacts, and social media handles
Cross-lingual Entity Extraction
Automatic entity detection and extraction from vast volumes of text, regardless of language or format
Flexible Data Flows
Entity data is delivered through interactive dashboards, API access, or real-time feeds, allowing integration with existing analytics platforms and workflows
Advanced Enrichment and Linking
Extracted entities are enriched with additional metadata and linked to internal and external databases to resolve identities and disambiguate organizations
Powerful Relationship Mapping
Visualize and analyze connections between entities to reveal hidden networks, influence patterns, and potential risks across datasets
Precise Entity Customization
Define custom entity types or tailor extraction rules to meet unique organizational needs