Linguamatics, a leader in enterprise text mining, announced a new view on the instant reactions made on Twitter about party leaders during the second UK televised election debate last week (April 22 2010).
Linguamatics
Linguamatics is the world leader in deploying innovative natural language processing (NLP)-based text mining for high-value knowledge discovery and decision support.
Telephone: +44 (0)1223 651 910
Address :
324 Cambridge Science Park Cambridge
Post Code: CB4 0WG
Country: United Kingdom
Website: http://www.linguamatics.com
Membership Type: Corporate 51+
Linguamatics is the world leader in deploying innovative natural language processing (NLP)-based text mining for high-value knowledge discovery and decision support. Linguamatics I2E is used by top commercial, academic and government organizations, including nine of the top ten global pharmaceutical companies. I2E can be used to mine a wide variety of text resources, such as scientific literature, patents, clinical trials data, news feeds and proprietary content. It is available as an in-house enterprise system, a managed service and software-as-a-service (SaaS) on the cloud.
Typical applications in pharmaceuticals, biotechnology, healthcare, government and other sectors include:
- Mapping gene-disease relationships and identifying potentially novel therapeutic targets
- Biomarker discovery
- Drug repurposing
- Drug safety
- Patent analysis
- Clinical trial site selection and study design
- Mining electronic medical records to improve prediction of health outcomes
- Translational medicine
- Competitive intelligence
- Social media mining
- Sentiment analysis
Linguamatics’ flagship I2E technology combines four key capabilities to enable users to rapidly extract relevant facts and relationships from large document collections:
- Natural language processing (NLP): using linguistics to quickly interpret the meaning of unstructured text sources.
- Search engine approach: where users can define and refine ad hoc queries interactively, returning results in real time.
- Intuitive reporting: presenting extracted information with drill-down to supporting evidence.
- Domain knowledge plug-in: providing enhanced semantic search capabilities using domain knowledge such as taxonomies, thesauri and ontologies.
I2E features a client-server architecture built using industry-standard Java and C++ for use by single users, project teams, or in enterprise-wide deployments. Organizations have full control over source content to be mined, definition of queries and results output.
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Linguamatics, a leader in enterprise text mining, today announced that sales revenue in 2009 exceeded $5million, significantly outperforming the company’s target of 50% growth year-on-year. The increased revenue comes from sales of both software licences and associated professional services.
23-04-2010
Linguamatics, a leader in enterprise text mining, today announced preliminary results of the linguistic analysis of 211,000 tweets sent by 47,420 twitterers from 8.30pm - 10pm on the night of the first UK election debate last week (April 15 2010).
21-04-2010
Linguamatics, a leader in enterprise text mining, today announced expansion of its US-based operations and opening of a new North American regional headquarters.
17-02-2010
Linguamatics, a leader in enterprise text mining for the life science and other markets, today announced the availability of I2E 3.1 for unlocking value from the wealth of unstructured text resources available to pharmaceutical companies.
16-10-2009
Linguamatics, a leader in enterprise text mining for the life science and other markets, today announced that AstraZeneca, a customer of Linguamatics since 2003, has extended its licence to the I2E semantic knowledge-discovery platform with a further multi-year deal.
10-07-2009
Linguamatics, a leader in enterprise text mining for the life science and other markets, today announced a partnership with ChemAxon, a leading provider of cheminformatics software, which has seen the integration of ChemAxon's substructure and structure similarity search capabilities into the I2E semantic knowledge-discovery platform.
23-04-2009
Linguamatics Ltd, a leader in enterprise text mining for the life science and other markets, today announced that it has been awarded "Company of the Year 2009" at the Cambridge Computer Lab Ring Hall of Fame Awards 2009, held earlier this month at Queens' College, Cambridge.
20-04-2009
Linguamatics Ltd, a leader in enterprise text mining for the life science and other markets, today announced that TNO has deployed the I2E semantic knowledge-discovery platform to provide insights and intelligence within the food safety domain. Financial details of the agreement were not disclosed.
28-10-2008
Linguamatics Ltd, a leader in enterprise text mining for the life science and other markets, recently held its Fall Users Conference in Cambridge, MA, October 7-9, hosted by Biogen Idec.
24-10-2008
Linguamatics Ltd, a leader in enterprise text mining for the life science and other markets, today announced that Bayer CropScience has renewed its commitment to use the I2E semantic knowledge-discovery platform to identify trends and activities in the crop protection business.
24-09-2008
Linguamatics, a leading player in Natural Language Processing (NLP) and its use in text search and mining to reveal hidden knowledge, announced today that it has appointed software entrepreneur John Brimacombe as Executive Chairman.
24-07-2006
Linguamatics, a leading player in Natural Language Processing (NLP) and its use in text search and mining, announced today that Hoffmann-La Roche is to pilot the Linguamatics I2E text mining software for molecular genomics research.
23-02-2006
Linguamatics, a leading player in Natural Language Processing (NLP), announced today that AstraZeneca PLC has extended its licence agreement for continued access to an Intelligence Network-based text mining solution for the analysis of research and other literature provided by Linguamatics in combin
20-12-2005
Linguamatics and the Cambridge Genetics Knowledge Park (CGKP) announced yesterday (1st November) that they are to collaborate in a 2-year project to expand our current understanding of gene-disease associations through effective mining of the scientific and other literature.
02-11-2005
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