Engagement Analyzer

Automated analysis of rhetorical features, inspired by Appraisal Framework
Author

Masaki EGUCHI

Published

January 1, 2023

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 & White, 2005).

  • For construction and evaluation of machine learning model, see Eguchi & Kyle (2023).

  • For a tutorial article written for applied linguistics audience, see Eguchi & Kyle (2024).

Example

Free Demo site

The tool is freely available from the following link.

Try demo

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
Eguchi, M., & Kyle, K. (2024). Building custom NLP tools to annotate discourse-functional features for second language writing research: A tutorial. Research Methods in Applied Linguistics, 3(3), 100153. https://doi.org/10.1016/j.rmal.2024.100153
Martin, J. R., & White, P. R. R. (2005). Engagement and Graduation: Alignment, Solidarity and the Construed Reader. In The Language of Evaluation (pp. 92–160). Palgrave Macmillan UK. https://doi.org/10.1057/9780230511910_3