Supervised Text Classification for Marketing Analytics
Completed by Steven Collareno
December 23, 2023
17 hours (approximately)
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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: Supervised Learning
- Category: Marketing Analytics
- Category: Machine Learning Algorithms
- Category: Feature Engineering
- Category: Python Programming
- Category: Text Mining
- Category: Tensorflow
- Category: Scikit Learn (Machine Learning Library)
- Category: Statistical Machine Learning
- Category: Model Evaluation
- Category: Model Training
- Category: Data Preprocessing
