no code implementations • 18 Dec 2019 • Rashid Mehdiyev, Jean Nava, Karan Sodhi, Saurav Acharya, Annie Ibrahim Rana
We describe the use of Non-Negative Matrix Factorization (NMF) and Latent Dirichlet Allocation (LDA) algorithms to perform topic mining and labelling applied to retail customer communications in attempt to characterize the subject of customers inquiries.
