SemantEx
Extracting meaning from language
About SemantEx
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What is SemantEx?
SemantEx is an artificial intelligence tool that uses natural language processing (NLP) methodology to extract meaning from the written word. SemantEx is designed to analyse large or small data sets. Our rules-based system can also be applied to any type of data set, whether structured or un-structured.
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How does it work?
SemantEx is built on a rules-based natural language parser, a series of language focussed graph data bases and an extensible, domain targetable knowledge base. This allows SemantEx to be applicable across a wide range of data sets, in any sector or service.
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Why is it better?
Neural networks require large amounts of training data which is often domain specific, this makes them computationally ‘heavy’ and difficult to deploy in new environments, particularly where sensitive data is involved. Our rules based system does not carry these problems.
Why SemantEx?
What we offer
We license SemantEx as a stand-alone or bolt-on option to organisational data collection systems. It assures improved productivity and reduced costs for services. We provide a costed on-boarding phase to support integration into existing systems. SemantEx runs efficiently and effectively from your PC or laptop making information governance and data protection easier to manage.
How it will help you
Through extraction of meaning from data SemantEx improves and enhances understanding, performance, and delivery of any service, and can help with regulatory compliance. SemantEx can reduce costs by analysing data with a human level understanding of natural language, but with a far increased speed, productivity and efficiency, with a small level of error. The rules based system also comprehends structured and un-structed text and data, and can parse colloquialisms and local idioms and so can be deployed to work with anything from doctor’s notes to Care Quality Commission Inspection Reports.
Why choose us
We are committed to the successful and meaningful implementation of artificial intelligence to make a positive difference to people and organisations. We are a values-driven company seeking to enhance productivity and social purpose through the use of SemantEx. We will provide ongoing support, guidance and information for the effective deployment of our tool.
Dr. Mike Barclay
Chief Technical Officer
Mike is a PhD level mathematical modeller and systems engineer specialising in machine learning and natural language processing. Recent work includes: implementation of an innovative deep natural language parser and learned ontology system, Bayesian networks for natural language generation and advanced statistical modelling and machine learning techniques.
Alan Rosenbach
Chairman
Alan is an experienced Non Executive Director with expertise of working in the care and health sectors. He has worked across organisational boundaries and in politically sensitive contexts. He has been working with a number of social care providers to embrace the use of machine learning and artificial intelligence to help improve care and support.
About Us
Brothers-in-law Mike and Alan founded SemantEx so we could bring our complimentary skill sets together for a social purpose. That purpose is to ensure that artificial intelligence is used responsibly and ethically to improve lives and community cohesion.
Who are we?
Our Clients
We have been working closely with Home-From-Home-Care (HFHC), a specialist social care provider. We are using SemantEx to analyse their big data to refine our methodological approach to content extraction, question answering and classification.
SemantEx reveals patterns of behaviour which, when interpreted, can improve care and/or raise alarms. SemantEx can be used for optimisation in areas such as recruitment and development, rostering and health and care gain.
We are working with DIEManalytics who have transcript texts which are being run through SemantEx to generate network graphs. These network graphs are developed into a visualisation which considers emphasis/influence; for example two people making the same connection, represented by the weighting of the link.
Contact
Us
Feel free to get in contact with us with any questions you have. Please fill out the contact form here.
