Entity extraction finds entities such as person, place, organization, and product names in text using AI-based natural language processing and machine learning technologies.  NetOwl’s named entity recognition software offers highly accurate, fast, and scalable entity extraction in multiple languages.
Extensive Ontology for Entity Extraction

Extensive Ontology for Entity Extraction

With over 100 types of entities, NetOwl offers a broad semantic ontology for entity extraction that goes beyond that of standard named entity extraction software. It includes people, various types of organizations (e.g., companies, governments), several types of places (e.g., countries, cities), addresses, artifacts, phone numbers, titles, etc.   This expansive named entity recognition (NER) forms the foundation for more advanced relationship extraction and event extraction.

Domains include Business, Finance, Politics, Homeland Security, Law Enforcement, Military, National Security, and Social Media.

Multilingual Entity Extraction

Multilingual Entity Extraction

NetOwl supports entity extraction in multiple languages, including English, Arabic, Chinese (traditional and simplified), French, German, Korean, Persian (Farsi and Dari), Russian, and Spanish.  The same comprehensive entity ontology available in English is also available for all the other languages, making multilingual and cross-lingual text analytics applications easier to develop.

 

Name Normalization

Name Normalization

NetOwl not only performs entity extraction but also assigns normalized forms to extracted person, organization, and place names, taking into account capitalization, acronyms, abbreviations, nicknames, etc. When Smart Geotagging is used, place names are both disambiguated and normalized. Name normalization is ideal for cross-document name resolution for applications such as faceted search, and various forms of intelligence analysis such as geospatial analysis and link analysis.

NetOwl integrates easily with many popular search, geospatial, and business intelligence tools such as Elasticsearch, Solr, MarkLogic, Esri ArcGIS, Tableau, Kibana, etc.

Smart Name Translation

Smart Name Translation

NetOwl Extractor’s Smart Name Translation provides English translation of named entities extracted from foreign language texts that use different alphabets/scripts, for example, Arabic, Chinese (traditional and simplified), Korean, Persian (Farsi and Dari), and Russian.  Smart Name Translation gives an effective way for monolingual users to search and gist foreign language content.

Key Features of Entity Extraction

  • High Accuracy & Speed

    High Accuracy & Speed

    Provides state-of-the-art entity extraction accuracy on many different types of text.  Extremely fast and scalable for real-time analysis.

  • On Premise or In the Cloud

    On Premise or In the Cloud

    Supports Docker and Kubernetes for easy and scalable deployment.

  • Easy Integration

    Easy Integration

    An easy-to-integrate entity extraction tool with a REST API. Pre-integrated with popular search and analytics tools like Elasticsearch and Esri ArcGIS.

  • Coreference Resolution

    Coreference Resolution

    Resolves co-referring entities, whether they are name aliases or acronyms:

    • “Ms. Smith” ➞ “Mary Smith”
    • “FAA” ➞ “Federal Aviation Administration”
  • Customizable

    Customizable

    Creator Edition (CE) enables the customization of existing entity types or addition of new entity types.

  • Language ID

    Language ID

    A seamlessly integrated language ID module detects the language of the input text automatically and performs entity extraction accordingly.

Contact us and discover what NetOwl can do for you!

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