Kingland launches Text Analytics Suite
Kingland has announced the general availability of a Text Analytics Suite, offering natural language processing and machine learning technology to accurately and automatically identify, tag and extract data from a variety of sources. Trained language models provide up to 90 percent accuracy across a variety of financial and corporate documents, with highly-tuned, source-specific models for narrow use cases capable of providing over 99 percent accuracy.
The highly-configurable Text Analytics Suite is built on 10 years of text analytics expertise and methodology. A cloud-hosted data lake architecture stores an infinite amount of unstructured data from an unlimited volume of integrated sources.
"Clients can streamline operational efficiency by viewing tagged documents directly within the user interface, extract key data attributes and integrate them directly into their organization's data systems," said Matt Good, Kingland Chief Technology Evangelist. "We're also featuring the capability to explore any source or document with SpeedRead, providing immediate access to tagged entities, people, and configured events within a document."
SpeedRead augments the efficiency and accuracy of many subject matter experts. With thousands of news items published daily, plus regulatory filings and private documents that hold valuable information, SpeedRead can help experts quickly discover valuable information, make informed decisions, and improve operational efficiency.
Extract tagged data attributes for direct data integration via APIs and message queues, providing real-time data updates throughout your organization. Configure alerts when specific combinations of vital data points appear within a source or document.
Kingland trains new models to fit a variety of sources and client use cases to achieve hyper-accuracy. Trained language models can sift through pronouns, family names, abbreviations, lexemes, other parts of speech and more. Kingland maintains a library of trained language models, and can configure new language models to accurately analyze new sources in a matter of days.