NetOwl is a suite of multilingual text and entity analytics products that analyze Big Data in the form of text data - reports, web, social media, etc. - as well as structured entity data about people, organizations, places, and things.
NetOwl utilizes computational linguistics, natural language processing, and machine learning approaches to extract entities, links, and events, to perform sentiment analysis, to assign latitude/longitude to geographical references in text, to translate names written in foreign languages, and to perform name matching and identity resolution. NetOwl's customers use the products for, among others, semantic search and discovery, geospatial analysis, intelligence analysis, content enrichment, compliance monitoring, cyber threat monitoring, risk management, and bioinformatics.
Maps, Directions, and Place Reviews
Products
The NetOwl suite includes, among others, the following text and entity analytics products:
Text Analytics
- NetOwl Extractor performs entity extraction from unstructured texts using computational linguistics and natural language processing. Extractor also performs semantic relationship and event extraction as well as geotagging of text. It is used for a variety of data sources including both traditional sources (e.g., news, reports, web pages, email) and social media (e.g., Twitter, Facebook, chats, blogs). It runs on Big Data analytics platforms such as Apache Hadoop and LexisNexis's High-Performance Computer Cluster (HPCC) technology. It has been integrated with a number of 3rd party analytical tools such as Google Earth/Maps.
Entity Analytics
- NetOwl NameMatcher and EntityMatcher perform name matching and identity resolution for large multicultural and multilingual entity databases using machine learning and computational linguistic approaches. They are used for applications such as watch lists, compliance, fraud detection, etc.
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History
The first NetOwl product was NetOwl Extractor, which was initially released in 1996. Since then, Extractor has added several new capabilities, including link and event extraction, geotagging, and sentiment analysis, as well as entity extraction in other languages and name translation. Other products were added later to the NetOwl suite, namely DocMatcher, TextMiner, NameMatcher, and EntityMatcher.
NetOwl has participated in several 3rd party-sponsored text and entity analytics software benchmarking events. NetOwl Extractor was the top-scoring named entity extraction system at the DARPA-sponsored Message Understanding Conference MUC-6 and the top-scoring link and event extraction system in MUC-7. It was also the top-scoring system at several of the NIST-sponsored Automatic Content Extraction (ACE) evaluation tasks. NetOwl NameMatcher was the top-scoring system at the MITRE Challenge for Multicultural Person Name Matching.
Source of the article : Wikipedia
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