Preprint / Version 1

Using AI to Assess the Correlation Between Admittance Status and College Essays


  • Dante Pittorino College Impact


AI, College Essay, Computer Science


Over the past decade, admissions rates to selective universities have been significantly dropping, and with so many students having similar academic achievements there has been a greater emphasis placed on the college essay. We examined the correlation between admittance status and college essays by creating a non-biased AI model capable of predicting a student’s admittance to university only based on their essay with 76% accuracy. In addition, we ran sentiment, emotion, and topic analysis natural language processing models to reveal the common characteristics found in admitted essays. The results concluded that admissions officers favored essays with either a strong positive or negative sentiment, that conveyed a strong sense of desire, and were related to an educational topic. These results are an important tool for students and families to gain a better insight into the increasingly confusing university admissions process.

References or Bibliography

Admissions Statistics | Harvard. (n.d.). Harvard College. Retrieved October 9, 2023, from

Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., ... & Amodei, D. (2020). Language models are few-shot learners. Advances in neural information processing systems, 33, 1877-1901.

Demszky, D., Ko, J., Cowen, A., Nemade, G., & Ravi, S. (2020). GoEmotions: A Dataset of

Fine-Grained Emotions. ArXiv.

Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2018). Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805.

Essays | Penn Admissions. (n.d.). Penn Admissions. Retrieved October 17, 2023, from

FAQs About the Independent Educational Consulting Profession –. (n.d.). Independent Educational Consultants Association. Retrieved October 17, 2023, from

Hale, M. (n.d.). What is a Personal Statement - National Fellowships. Loyola University Maryland. Retrieved August 28, 2023, from

Harris, Z. (2018, September 6). A Step-By-Step Guide on How College Admissions Officers Read Your Application. InGenius Prep. Retrieved October 9, 2023, from

Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient Estimation of Word Representations in

Vector Space. ArXiv. /abs/1301.3781

OpenAI. (2023). GPT-4 Technical Report. ArXiv. /abs/2303.08774

Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., …, & Duchesnay, É. (2012). Scikit-learn: Machine Learning in Python. ArXiv. /abs/1201.0490

Sanh, V., Debut, L., Chaumond, J., & Wolf, T. (2019). DistilBERT, a distilled version of BERT: Smaller,

faster, cheaper and lighter. ArXiv. /abs/1910.01108