تقرير
Detecting Depression in Thai Blog Posts: a Dataset and a Baseline
| العنوان: | Detecting Depression in Thai Blog Posts: a Dataset and a Baseline |
|---|---|
| المؤلفون: | Hämäläinen, Mika, Patpong, Pattama, Alnajjar, Khalid, Partanen, Niko, Rueter, Jack |
| سنة النشر: | 2021 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computation and Language |
| الوصف: | We present the first openly available corpus for detecting depression in Thai. Our corpus is compiled by expert verified cases of depression in several online blogs. We experiment with two different LSTM based models and two different BERT based models. We achieve a 77.53\% accuracy with a Thai BERT model in detecting depression. This establishes a good baseline for future researcher on the same corpus. Furthermore, we identify a need for Thai embeddings that have been trained on a more varied corpus than Wikipedia. Our corpus, code and trained models have been released openly on Zenodo. Comment: Workshop on Noisy User-generated Text (at EMNLP) |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2111.04574 |
| رقم الأكسشن: | edsarx.2111.04574 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |