Learn How to Use Natural Language Processing for Product Data Science
Product data scientists can add sentiment, topic, and embedding features from tickets and reviews to improve churn, lifetime value, and segmentation.
Natural Language Processing
From Words to Vectors: What Takes Place in Between?
TF-IDF and vector spaces convert text into weighted numeric points, helping classifiers compare documents and identify topics by similarity.