Difference between revisions of "EDrugTrends/RelationshipExtraction"
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Revision as of 08:43, 19 December 2017
Relationship Extraction of Drug and Side-effect using NLP and UMLS Semantic Knowledge Base. The Objective is to extract drug (substance) and side-effect (disease or symptom) relationship from tweets using Stanford NLP and UMLS Semantic Knowledge Base.
Relationship Extraction Tools The interface has been implemented by integrated the NLP and Semantic Knowledge.
People
Ph.D. Researcher: Farahnaz Golroo
Graduate Student: Vinod Kumar
Overview
File:Wiki Flowchart.JPG
Oveview
