#smm4h

ThangDLU at #SMM4H 2024: Encoder-decoder models for classifying text data on social disorders in children and adolescents

Hoang-Thang Ta, Abu Bakar Siddiqur Rahman, Lotfollah Najjar, Alexander Gelbukh
https://arxiv.org/abs/2404.19714 https://arxiv.org/pdf/2404.19714

arXiv:2404.19714v1 Announce Type: new
Abstract: This paper describes our participation in Task 3 and Task 5 of the #SMM4H (Social Media Mining for Health) 2024 Workshop, explicitly targeting the classification challenges within tweet data. Task 3 is a multi-class classification task centered on tweets discussing the impact of outdoor environments on symptoms of social anxiety. Task 5 involves a binary classification task focusing on tweets reporting medical disorders in children. We applied transfer learning from pre-trained encoder-decoder models such as BART-base and T5-small to identify the labels of a set of given tweets. We also presented some data augmentation methods to see their impact on the model performance. Finally, the systems obtained the best F1 score of 0.627 in Task 3 and the best F1 score of 0.841 in Task 5.

Graciela Gonzalez, opening the Social Media Mining for Health 2023 (#SMM4H) at #AMIA2023, showing data for how social media data offers a great representative sample of population demographics.

Also, General findings of the shared tasks on #socialmedia mining. Pre-trained transformer models ruling. #AI #MachineLearning #AMIA2023 #SMM4H

Will give an overview of our NIH-NLM-funded research on “Network Science to Model Health Vulnerabilities and Biases” at #SMM4H workshop at #AMIA2023, St. Charles Ballroom, Hilton Riverside, New Orleans. Saturday November 12, 10:30am

#networkscience #complexSystems
https://healthlanguageprocessing.org/smm4h-2023/

Looking forward to the AMIA Annual Symposium this Saturday in New Orleans, where I will give a keynote talk at the #SocialMediaMining for #Health Applications (#SMM4H) Workshop. #medicalinformatics #ComplexSystems #NetworkScience #machinelearning
https://healthlanguageprocessing.org/smm4h-2023/