
This record contains the trained transformer-based model described in Automatic Detection in Twitter of Non-Traumatic Grief due to Deaths by COVID-19 (IEEE Access) (https://doi.org/10.1109/ACCESS.2023.3343149). This release provides the final trained model weights and tokenizer to support reproducibility and reuse for research purposes.
non-traumatic grief, grief detection, NLP, transformers, Twitter, mental health
non-traumatic grief, grief detection, NLP, transformers, Twitter, mental health
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
