Overview of the seventh social media mining for health applications (# SMM4H) shared tasks at COLING 2022
For the past seven years, the Social Media Mining for Health Applications (# SMM4H)
shared tasks have promoted the community-driven development and evaluation of …
shared tasks have promoted the community-driven development and evaluation of …
Evaluating large language models for health-related text classification tasks with public social media data
Abstract Objectives Large language models (LLMs) have demonstrated remarkable success
in natural language processing (NLP) tasks. This study aimed to evaluate their …
in natural language processing (NLP) tasks. This study aimed to evaluate their …
Applications and challenges of SA in real-life scenarios
Sentiment analysis has benefited from the availability of lexicons and benchmark datasets
created over decades of research. However, its applications to the real world are a driving …
created over decades of research. However, its applications to the real world are a driving …
[HTML][HTML] Multimodal model with text and drug embeddings for adverse drug reaction classification
In this paper, we focus on the classification of tweets as sources of potential signals for
adverse drug effects (ADEs) or drug reactions (ADRs). Following the intuition that text and …
adverse drug effects (ADEs) or drug reactions (ADRs). Following the intuition that text and …
Classifying the mexican epidemiological semaphore colour from the covid-19 text spanish news
This work aims to generate classification models that help determine the colour of an
epidemiological semaphore (ES) by analysing online news and being better prepared for …
epidemiological semaphore (ES) by analysing online news and being better prepared for …
The ProfNER shared task on automatic recognition of occupation mentions in social media: systems, evaluation, guidelines, embeddings and corpora
Detection of occupations in texts is relevant for a range of important application scenarios,
like competitive intelligence, sociodemographic analysis, legal NLP or health-related …
like competitive intelligence, sociodemographic analysis, legal NLP or health-related …
Overview of the 8th Social Media Mining for Health Applications (# SMM4H) shared tasks at the AMIA 2023 Annual Symposium
Objective The aim of the Social Media Mining for Health Applications (# SMM4H) shared
tasks is to take a community-driven approach to address the natural language processing …
tasks is to take a community-driven approach to address the natural language processing …
[HTML][HTML] Extensive evaluation of transformer-based architectures for adverse drug events extraction
Abstract Adverse Drug Event (ADE) extraction is one of the core tasks in digital
pharmacovigilance, especially when applied to informal texts. This task has been addressed …
pharmacovigilance, especially when applied to informal texts. This task has been addressed …
[HTML][HTML] An assessment of mentions of adverse drug events on social media with natural language processing: model development and analysis
D Yu, VGV Vydiswaran - JMIR Medical Informatics, 2022 - medinform.jmir.org
Background Adverse reactions to drugs attract significant concern in both clinical practice
and public health monitoring. Multiple measures have been put into place to increase …
and public health monitoring. Multiple measures have been put into place to increase …
Identification of hand-foot syndrome from cancer patients' blog posts: BERT-based deep-learning approach to detect potential adverse drug reaction symptoms
S Nishioka, T Watanabe, M Asano, T Yamamoto… - PloS one, 2022 - journals.plos.org
Early detection and management of adverse drug reactions (ADRs) is crucial for improving
patients' quality of life. Hand-foot syndrome (HFS) is one of the most problematic ADRs for …
patients' quality of life. Hand-foot syndrome (HFS) is one of the most problematic ADRs for …