Difference between revisions of "EDrugTrends/RelationshipExtraction"
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The Objective is to extract drug (substance) and side-effect (disease or symptom) relationship from tweets using Stanford 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. | ||
| + | <b>Relationship Extraction Tools</b> The interface has been implemented by integrated the NLP and Semantic Knowledge. | ||
=People= | =People= | ||
| − | + | Ph.D. Researcher: Farahnaz Golroo <br /> | |
Graduate Student: Vinod Kumar | Graduate Student: Vinod Kumar | ||
=Overview= | =Overview= | ||
| + | |||
| + | [[Image:Wiki | center | 400px | thumb | Oveview of the ]] | ||
Revision as of 06:27, 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
Oveview of the
