Utilized latent Dirichlet allocation (LDA) to classify different types of customer complaints on YELP. This research was conducted in spring 2019 as a final project for 'Principles of Data Science' (CIS 3715) at Temple University. See report for more info.
Memhir-Yasue/Customer-Complaint-LDA-model
Used unsupervised machine learning (LDA) to classify different types of customer complaint on a YELP review dataset
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