Engagement Analyzer
Automated analysis of rhetorical features, inspired by Appraisal Framework
Description
Engagemen Analyzer (Eguchi & Kyle, 2023) allows learners and teachers to find out rhetorical expressions in the user-input writing. This tool draws on the construct of Engagement in Appraisal Framework (Martin, 2005).
For construction and evaluation of machine learning model, see Eguchi & Kyle (2023).
For a tutorial article written for applied linguistics audience, see (Eguchi-2024?).

Free Demo site
The tool is freely available from the following link.
References
Eguchi, M., & Kyle, K. (2023). Span Identification of Epistemic Stance-Taking in Academic Written English. Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023), 429–442. https://doi.org/10.18653/v1/2023.bea-1.35
Martin, R. (2005). I Analysing genre: Functional parameters. J. R.