Technological Innovations
Limeglass Research Atomisation™ solutions comprises many fundamental innovations designed explicitly to unlock the latent value across the research life cycle
Watch the Video
Find out how Limeglass helps transform the liability of information overload in research into the asset it was designed to be
Technology Solutions for the Financial Markets
Limeglass Lexicon Proprietary Financial Ontology
Limeglass manages its own continually evolving financial ontology which underpins the Limeglass services & technologies:
Proprietary semantic ontology
- cross-asset class, macro & thematic knowledge-graph
- managed & curated by our in-house research team
- comprehensive synonyms of financial concepts & entities
- over 150,000 tags
- growing at 1,500 per month
Limeglass Research Atomisation™ services are powered by Limeglass Rich-NLP technology
Limeglass Rich-NLP technology* analyses, tags & indexes paragraphs
- interprets sentences in context
- utilises document flow structure & formatting
- identifies important combinations of tags
(e.g. US + Inflation) - context-aware semantic WSD**
(e.g. disambiguate ‘cable’ as ‘cable TV’, ‘GBP/USD’ etc) - evaluates paragraph-level tag composition analysis
Research Atomisation™ Index
- custom-built paragraph-level index
- locate & surface relevant paragraphs or document sections
- documents are regularly reprocessed & reindexed as Lexicon evolves
Unstructured Document Interpreters
- identify the core articles in the manner the author intended
- flow document interpreters parse & classify elements within flow documents
(e.g. HTML) - fixed-page format interpreters convert & reflow ‘designed for print’ formats
(e.g. native PDF)
* Rich Natural Language Processing is Limeglass’s proprietary NLP technology that leverages the rich formatting and context within complex research documents
** Word-sense disambiguation (WSD) is an open problem in computational linguistics concerned with identifying which sense of a word is used in a sentence
Content Metrics provide granular analytics on composition of published research
-
document composition can be easily visualised
-
content metrics can be aggregated over multiple documents
-
tag coverage can be analysed to find trends over time
Get in touch to book a demo or find out more
If you would like to speak with the team or book a demo to see how our technology can empower your team, please get in touch using the form below:
