Python LDA Model, Amazon

This project encompasses the analysis of an e-commerce dataset sourced from Amazon.com. The objective is to utilize historical data for assessing the potential of predicting average review scores. By employing Latent Dirichlet Allocation (LDA), insights and patterns within the data will be unveiled. The overarching goal is to strategically position products to achieve the highest average review scores.