Neural DrugNet
This is an incremental improvement for health informatics researchers working on social media mining.
The authors tackled the problem of automatically classifying social media posts about medication intake by deploying an ensemble of two LSTM models, achieving 2nd place in a shared task.
In this paper, we describe the system submitted for the shared task on Social Media Mining for Health Applications by the team Light. Previous works demonstrate that LSTMs have achieved remarkable performance in natural language processing tasks. We deploy an ensemble of two LSTM models. The first one is a pretrained language model appended with a classifier and takes words as input, while the second one is a LSTM model with an attention unit over it which takes character tri-gram as input. We call the ensemble of these two models: Neural-DrugNet. Our system ranks 2nd in the second shared task: Automatic classification of posts describing medication intake.