From 22171ebc935f7d9e8407e7514a29f699bdfd03c8 Mon Sep 17 00:00:00 2001 From: Hartmann Date: Fri, 28 Oct 2022 05:20:11 +0000 Subject: [PATCH] Update README.md --- README.md | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index a78c200..8b4c8e5 100644 --- a/README.md +++ b/README.md @@ -61,7 +61,7 @@ b) Run emotion model on multiple examples and full datasets (e.g., .csv files) o Please reach out to [j.p.hartmann@rug.nl](mailto:j.p.hartmann@rug.nl) if you have any questions or feedback. -Thanks to Samuel Domdey and chrsiebert for their support in making this model available. +Thanks to Samuel Domdey and [chrsiebert](https://huggingface.co/siebert) for their support in making this model available. # Reference ✅ @@ -95,4 +95,10 @@ Please find an overview of the datasets used for training below. All datasets co |MELD, Poria et al. (2019)|Yes|Yes|Yes|Yes|Yes|Yes|Yes| |SemEval-2018, EI-reg, Mohammad et al. (2018) |Yes|-|Yes|Yes|-|Yes|-| -The model is trained on a balanced subset from the datasets listed above (2,811 observations per emotion, i.e., nearly 20k observations in total). 80% of this balanced subset is used for training and 20% for evaluation. The evaluation accuracy is 66% (vs. the random-chance baseline of 1/7 = 14%). \ No newline at end of file +The model is trained on a balanced subset from the datasets listed above (2,811 observations per emotion, i.e., nearly 20k observations in total). 80% of this balanced subset is used for training and 20% for evaluation. The evaluation accuracy is 66% (vs. the random-chance baseline of 1/7 = 14%). + +# Scientific Applications 📖 + +Below you can find a list of papers using "Emotion English DistilRoBERTa-base". If you would like your paper to be added to the list, please send me an email. + +Rozado, D., Hughes, R., & Halberstadt, J. (2022). Longitudinal analysis of sentiment and emotion in news media headlines using automated labelling with Transformer language models. Plos one, 17(10), e0276367. \ No newline at end of file