TwiMed: Twitter and PubMed Comparable Corpus of Drugs, Diseases, Symptoms, and Their Relations.

ABSTRACT:

Background

Work on pharmacovigilance systems using texts from PubMed and Twitter typically target at different elements and use different annotation guidelines resulting in a scenario where there is no comparable set of documents from both Twitter and PubMed annotated in the same manner.

Objective

This study aimed to provide a comparable corpus of texts from PubMed and Twitter that can be used to study drug reports from these two sources of information, allowing researchers in the area of pharmacovigilance using natural language processing (NLP) to perform experiments to better understand the similarities and differences between drug reports in Twitter and PubMed.

Methods

We produced a corpus comprising 1000 tweets and 1000 PubMed sentences selected using the same str

SUBMITTER: Alvaro N 

PROVIDER: S-EPMC5438461 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature