Integrating Natural Language Processing into Product Data Science Models
This practical guide explores how data scientists can enhance traditional predictive models—such as customer churn and lifetime value—by incorporating unstructured text data. Leveraging natural language processing allows teams to extract deeper behavioral insights from customer interactions, ultimately driving more accurate forecasting and smarter product development decisions in a competitive marketplace.
Source: Towards Data Science