Find Knowledge Hidden in Unstructured Data with NLP Text Mining: A Pharma Perspective

(Recorded on February 24, 2015)

Sponsored by
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Linguamatics’ agile natural language processing (NLP) text mining software, I2E, provides rapid knowledge discovery from unstructured text. In this era of big data, life science organizations face the challenge of filtering ever‐increasing volumes of text information to gain actionable insights for key decision‐making.

This talk will introduce you to text analytics in pharma and biotech, and present an overview of some use cases. We will focus on a specific application in use at Novartis, where significant relationships are extracted from the scientific literature in bulk, using an NLP pipeline. We will show how this resource can be used to increase awareness of key themes around genes, diseases, drugs and mutations, and provide essential context for experimental and assay results.

Learning Objectives:

  • What is NLP text mining?
  • The benefits of flexible NLP text analytics
  • Use cases for text analytics across pharma drug discovery & development
  • How text analytics is making a difference at Novartis today

Who Should Attend:

  • R&D Management
  • Bioinformatics
  • Discovery Informatics
  • Medicinal chemistry
  • Information professional


Dr. Jane Reed

Head of Life Science Strategy

Dr. Luiz Miguel Camargo

Senior Investigator