Rubrik: Praxis
(Treffer aus pharmind, Nr. 10, Seite 1354 (2020))
Werner J | Kloft M | Gurulingappa H | Schneider D | Schlaps D
Automation of Unstructured Data Transformation for Regulatory and Identification of Medicinal Products / Text Mining for Merck Pharma Regulatory Intelligence · Werner J
1, Kloft M
2, Gurulingappa H
2, Schneider D
2, Schlaps D
3 ·
1Merck Healthcare KGaA, Darmstadt und Merck KGaA, Darmstadt und IT Consulting Life Science, Wessobrunn
Speech is the oldest and most spread out type of communication of mankind. The written speech, text, is somewhat newer but follows the same principles as speech and is therefore unstructured and makes it difficult for machines to grasp the meaning of text. Although living in the dawn of data age, we are still communicating by exchanging unstructured text. Due to our digitalized world we can generate huge amounts of textual information and distribute these in a very short time. The desire to evaluate this information automatically, as it is standard e.g. for a data warehouse, is growing. With today’s ...