TOP3 CHALLENGES FOR COMMERCIAL TEXT MINERS
In biomedical R&D, researchers use text mining tools to extract and interpret facts, assertions and relationships from vast amounts of published information. Mining accelerates the research process, increases discovery and helps companies identify potential safety issues in the drug development pipeline. However, despite the many benefits of text mining, researchers face a number of obstacles before they even get a chance to run queries against the body of biomedical literature.
Here are the three primary challenges for researchers as they build a collection of articles (or “corpus”) for their text mining projects.
While text mining can accelerate and enrich your company’s R&D program, limited access to full-text content in XML format across multiple publishers and layers of manual process place unnecessary barriers between researchers and the content they want to mine.
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