Automatic Essay Scoring System Using NLP and Deep Learning
This project in Automatic Essay Scoring leverages machine learning to predict student essay scores based on linguistic features. Using a dataset of graded essays, preprocessing steps unified score scales and anonymized data. Various models, including SVM with TF-IDF and deep learning approaches, were tested, with the TF-IDF model achieving the best performance. The project highlights the potential of simpler models and suggests future improvements in scoring systems and feedback generation.
Presentation:
Github Repository:
Files for this project are stored at: https://github.com/caleb10miller/Automatic-Essay-Scoring