The demand for a creative workforce has never been higher, yet schools struggle to teach and assess creativity among students predictably and efficiently. Compositions are an effective way to incorporate creativity across the curriculum; however, essays are time consuming for teachers to score for objective quality or subjective creativity. In this study, I explored a) if high creativity scores are related to high quality and sophistication in academic writing, and b) if extant text-mining tools effectively identify quality, sophistication, and creativity in academic essays. I collected 230 essays written by Grade 11 students. Four human-raters analyzed these essays for quality, sophistication, and creativity, and I used text-mining tools designed to assess creativity to analyze the same. Using correlations - including the variables semantic distance (measured against the GloVe corpus), entropy (measured with Shannon's Entropy Index), and idea density (measured with CPIDR5.1) - I assessed both human-raters' and text-mining tools' proficiency at identifying quality, sophistication, and creativity in academic essays. Quality, sophistication, and creativity were also regressed on these same text-mining variables to assess which method - human or computer – and which of the text-mining tools - best predicts these dependent variables. Human-raters' creativity scores correlated with human-raters' quality scores …