Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 …
A Sarker, M Belousov, J Friedrichs… - Journal of the …, 2018 - academic.oup.com
Abstract Objective We executed the Social Media Mining for Health (SMM4H) 2017 shared
tasks to enable the community-driven development and large-scale evaluation of automatic …
tasks to enable the community-driven development and large-scale evaluation of automatic …
[PDF][PDF] Mining Twitter for adverse drug reaction mentions: a corpus and classification benchmark
With many adults using social media to discuss health information, researchers have begun
diving into this resource to monitor or detect health conditions on a population level. Twitter …
diving into this resource to monitor or detect health conditions on a population level. Twitter …
Overview of the third social media mining for health (SMM4H) shared tasks at EMNLP 2018
The goals of the SMM4H shared tasks are to release annotated social media based health
related datasets to the research community, and to compare the performances of natural …
related datasets to the research community, and to compare the performances of natural …
[PDF][PDF] Overview of the second social media mining for health (SMM4H) shared tasks at AMIA 2017
A Sarker, G Gonzalez-Hernandez - Training, 2017 - ceur-ws.org
The volume of data encapsulated within social media continues to grow, and, consequently,
there is a growing interest in developing effective systems that can convert this data into …
there is a growing interest in developing effective systems that can convert this data into …
Social media mining shared task workshop
Social media has evolved into a crucial resource for obtaining large volumes of real-time
information. The promise of social media has been realized by the public health domain …
information. The promise of social media has been realized by the public health domain …
[HTML][HTML] Pharmacovigilance on twitter? Mining tweets for adverse drug reactions
Recent research has shown that Twitter data analytics can have broad implications on
public health research. However, its value for pharmacovigilance has been scantly studied …
public health research. However, its value for pharmacovigilance has been scantly studied …
NRC-Canada at SMM4H shared task: classifying Tweets mentioning adverse drug reactions and medication intake
S Kiritchenko, SM Mohammad, J Morin… - arXiv preprint arXiv …, 2018 - arxiv.org
Our team, NRC-Canada, participated in two shared tasks at the AMIA-2017 Workshop on
Social Media Mining for Health Applications (SMM4H): Task 1-classification of tweets …
Social Media Mining for Health Applications (SMM4H): Task 1-classification of tweets …
Overview of the sixth social media mining for health applications (# SMM4H) shared tasks at NAACL 2021
The global growth of social media usage over the past decade has opened research
avenues for mining health related information that can ultimately be used to improve public …
avenues for mining health related information that can ultimately be used to improve public …
Text classification models for the automatic detection of nonmedical prescription medication use from social media
Background Prescription medication (PM) misuse/abuse has emerged as a national crisis in
the United States, and social media has been suggested as a potential resource for …
the United States, and social media has been suggested as a potential resource for …
Overview of the fourth social media mining for health (SMM4H) shared tasks at ACL 2019
The number of users of social media continues to grow, with nearly half of adults worldwide
and two-thirds of all American adults using social networking. Advances in automated data …
and two-thirds of all American adults using social networking. Advances in automated data …