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SOFTWARE | SOLUTIONS | SERVICES | COMPANY | NEWS | EVENTS | SUPPORT | CONTACT |  |
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Example: What genes affect breast cancer?
(SEARCH QUESTION)
Search Engines
(DOCUMENT RETRIEVAL)
Traditional keyword search retrieves documents using pre-defined keywords.
Text Mining
(INFORMATION EXTRACTION)
Using computational algorithms based on Natural Language Processing (NLP), text mining identifies, extracts, synthesizes and analyses relevant facts and relationships that provide directly relevant information to answer your questions
What?
Linguamatics I2E is an agile, scalable NLP-based text mining platform that enables better, faster decision support through more effective and productive knowledge discovery.
Where?
It's used to solve high value knowledge discovery problems in many different application areas, in industries such as Pharmaceuticals and Biotechnology. Examples are R&D, Competitive Intelligence, Patent Analysis, and Market Research including sentiment analysis and social media mining.
Why?
The results from your query are an automatically extracted set of facts and relationships, typically clustered together by topic or type of assertion. The computer is able to mine this information in a systematic, comprehensive and reproducible way at a scale that a human can’t achieve. Because the software does this extra step for you, it dramatically reduces the manual reading, review and analysis required to find breakthrough insights.
The results are structured, like in a database, so you can visualize them in many different ways, as tables, interaction networks, mind maps, charts, and so on.
Based on customer feedback, I2E gets to actionable results at least 10x faster than conventional keyword search, and in many cases makes projects successful that would otherwise be impossible or intractable.
Client Testimonials
"Having I2E and now I2E OnDemand really puts text mining approaches within reach of the biotech sector, allowing the types of data analysis to be carried out that have largely been the domain of pharmaceutical companies."
- Keith Foster, Founder & Chief Technology Officer, Syntaxin
"No other products had the same set of capabilities, especially processing over 17 million abstracts and documents, some a 1,000 pages in length."
- Top 50 Pharma/Biotech company
"Linguamatics has been extremely responsive and demonstrated that (even at its early stage) it is competent to work with large and influential customers."
- Top 50 Pharma/Biotech company
"We were looking for an NLP product but wanted it to be lightweight and give us the flexibility we needed. Linguamatics specializes in agility and I knew it would address multiple research initiative problems."
- Top 50 Pharma/Biotech company
"The ability for the researcher to explore questions that no one else has asked and get back relevant results is impressive."
- Top 50 Pharma/Biotech company
"We were looking for a product to extract information from millions of unstructured documents in published literature to answer scientific research questions. I had used the product at a previous company and pushed for it at my current employer where we continue to expand and improve its application."
- Top 50 Pharma/Biotech company
Register here for our free webinar on Text Mining
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