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Papers of the Week

Home / Publications / Pain Research Forum / Papers of the Week / Extracting health-related causality from twitter messages using natural language processing.

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2019 Apr 04


BMC Med Inform Decis Mak


http://www.ncbi.nlm.nih.gov/pubmed/30943954?dopt=Abstract


19


Suppl 3

Extracting health-related causality from twitter messages using natural language processing.

Authors

Extracting health-related causality from twitter messages using natural language processing.
Doan S, Yang EW, Tilak SS, Li PW, Zisook DS, Torii M
BMC Med Inform Decis Mak. 2019 Apr 04; 19(Suppl 3):79.
PMID: 30943954.

Abstract

Twitter messages (tweets) contain various types of topics in our daily life, which include health-related topics. Analysis of health-related tweets would help us understand health conditions and concerns encountered in our daily lives. In this paper we evaluate an approach to extracting causalities from tweets using natural language processing (NLP) techniques.
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