Human-CentricAI/UX_Dimensions_for_VR_Achievement

This model is a fine-tuned version of RoBERTa-large [1]. It was trained on 2,100 VR game reviews to measure sentiment on UX dimensions. Specifically, this model measures the sentiment on the UX dimension Achievement.

The model assigns one of 3 possible labels:

0 (neutral): The text describes the UX dimension neutrally or is not discussed <br /> 1 (positive): The text describes the UX dimension positively <br /> 2 (negative): The text describes the UX dimension negatively <br />

References <br /> [1] Liu, Y.; Ott, M.; Goyal, N.; Du, J.; Joshi, M.; Chen, D.; ... & Stoyanov, V. (2019). Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692.