Paper Info
Title
Turning user generated health-related content into actionable knowledge through text analytics services
Abstract
Natural Language Processing-based systems to monitor social media streams.MeaningCloud text analytics service.Integration of drug and adverse effects semantic resources.Drug-adverse effects relation extraction.Data visualization in time lines and aggregated data.Named entities recognition and relation extraction evaluation. In the last years, the habit of discussing healthcare issues with family and friends, even with unknown people, in the context of social networks has increased and processing user generated content has become a new challenge. This can help in on-line crowd surveillance for different applications (pharmacovigilance and filtering health contents in blogs among others) as well as extracting knowledge from unstructured text sources. In this article, a system that monitors health social media streams is described. It is based on several text analytics processes supported, among others, by MeaningCloud, a commercial platform which provides meaning extraction from texts in a Software as a Service mode. In this architecture, several domain resources are integrated to detect drugs and drug effects such as CIMA (official information about authorized drugs in Spain maintained by the Spanish Agency of Medicines and Health Products), MedDRA (Medical Dictionary for Regulatory Activities) and the SpanishDrugEffectDB database that contains relations between drugs and effects. Different ways of visualizing data considering time lines and aggregated data have been implemented. In order to show performance, an evaluation has been carried out over Named Entities Recognition (NER) and Relation Extraction (RE) tasks.
Year
DOI
Venue
2016
10.1016/j.compind.2015.10.006
Computers in Industry
Field
DocType
Volume
Data science,User-generated content,World Wide Web,Social media,Social network,Computer science,Visualization,Software as a service,MeaningCloud,Analytics,Relationship extraction
Journal
78
Issue
ISSN
Citations 
C
0166-3615
5
PageRank 
References 
Authors
0.38
22
6
Name
Order
Citations
PageRank
Paloma Martínez171785.63
José L. Martínez250.38
Isabel Segura-Bedmar343530.96
Julián Moreno Schneider44512.72
Adrián Luna550.38
ricardo revert6221.16