The process of building a teaching platform for contemporary Chinese literature poses many challenges. Based on big data research, this study was conducted using diversified intelligent analysis technology and theory. Through a fuzzy analytic hierarchy process method and relevant steps regarding intelligent parameter improvement, this study analyzed a Chinese contemporary literature teaching platform and developed a diversified intelligent optimization model. This model demonstrated that different indicators had varying change relationships on the model matrix, with the linear feature of text aesthetics emerging as the strongest. The accuracy of the model was verified by comparing the model curve with the test data under different variables. The hope is that this study can act as a useful reference for the construction of big data teaching platforms across multiple fields.