The Future of Writing Style Analyses: Ouriginal Metrics as a Learning Analytics Tool
In the last two parts of this series (part 1, part 2) on computational linguistics and writing style analytics, we mostly discussed how stylometry can be used to detect ghostwriters. Besides this scenario, Ouriginal Metrics could also be used as a learning analytics tool to analyze students writing styles, help them to improve their writing skills.
Computational Linguistics To Uncover Ghostwriters And Unfair Contract Cheating – And Its Limitations
According to previous theoretical discussions and experimental results in stylometry, genre and topic interference can make differentiation between authors harder. This is because shared word and phrase usage that accompanies writing on the same topic as well as the writing conventions for particular genres make it difficult to identify a strong authorial signature to be used for author verification.