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Authors: Boriharn Kumnunt and Ohm Sornil

Affiliation: Graduate School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand

Keyword(s): Natural Language Processing, Text Classification, Neural Networks, Depression, CNN, LSTM.

Abstract: Depression problems can severely affect not only personal health, but also society. There is evidence that shows people who suffer from depression problems tend to express their feelings and seek help via online posts on online platforms. This study is conducted to apply Natural Language Processing (NLP) with messages associated with depression problems. Feature extractions, machine learning, and neural network models are applied to carry out the detection. The CNN-LSTM model, a unified model combining Convolutional Neural Networks (CNN) and Long Short-Term Memory Networks (LSTM), is used sequentially and in parallel as branches to compare the outcomes with baseline models. In addition, different types of activation functions are applied in the CNN layer to compare the results. In this study, the CNN-LSTM models show improvement over the classical machine learning method. However, there is a slight improvement among the CNN-LSTM models. The three-branch CNN-LSTM model with the Rectif ied Linear Unit (ReLU) activation function is capable of achieving the F1-score of 83.1%. (More)

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Paper citation in several formats:
Kumnunt, B. and Sornil, O. (2020). Detection of Depression in Thai Social Media Messages using Deep Learning. In Proceedings of the 1st International Conference on Deep Learning Theory and Applications - DeLTA, ISBN 978-989-758-441-1, pages 111-118. DOI: 10.5220/0009970501110118

@conference{delta20,
author={Boriharn Kumnunt. and Ohm Sornil.},
title={Detection of Depression in Thai Social Media Messages using Deep Learning},
booktitle={Proceedings of the 1st International Conference on Deep Learning Theory and Applications - DeLTA,},
year={2020},
pages={111-118},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009970501110118},
isbn={978-989-758-441-1},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Deep Learning Theory and Applications - DeLTA,
TI - Detection of Depression in Thai Social Media Messages using Deep Learning
SN - 978-989-758-441-1
AU - Kumnunt, B.
AU - Sornil, O.
PY - 2020
SP - 111
EP - 118
DO - 10.5220/0009970501110118

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