Supervised Text Classification for Marketing Analytics
Completed by Aung Soe
July 10, 2025
17 hours (approximately)
Aung Soe's account is verified. Coursera certifies their successful completion of Supervised Text Classification for Marketing Analytics
What you will learn
Distinguish supervised classification from unsupervised text-learning tasks, create a labeling codebook, and reconcile multiple coders into gold-standard labels.
Transform raw text into a model-ready predictive feature matrix and configure and train a regularized elastic-net text classifier.
Evaluate generalization with held-out validation data and appropriate classification metrics.
Interpret learning curves to identify overfitting and diminishing returns from additional labels.
Skills you will gain
- Category: Machine Learning
- Category: Embeddings
- Category: Supervised Learning
- Category: Marketing Analytics
- Category: Machine Learning Algorithms
- Category: Transfer Learning
- Category: Data-Driven Marketing
- Category: Data Manipulation
- Category: Scikit Learn (Machine Learning Library)
- Category: Feature Engineering
- Category: Statistical Machine Learning
- Category: Text Mining
