Session 3 - Preprocessing, Transformation, and Classification Models

Exercise 07 - Text Classification

Learning objective: In this exercise, you will practice performing classification using Machine Learning on your transformed text data.

Workflow description: This workflow assigns colors to class labels, partitions transformed texts into train and test sets, trains and scores a simple classifier.

You’ll find the instructions for the exercises in the yellow annotations.

Decision Trees to classify texts

1. Append color information based on class labels using the Color Manager node.

2. Filter out Document column.

3. Split data into training (70%) and test (30%) set with stratified sampling on the target column using the Partitioning node.

4. Train Decision Tree classifier on the training set with the Decision Tree Leaner node.

5. Apply the trained model to the test set with the Decision Tree Predictor node.

6. Score model with the Scorer node.

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Reading Textual Data

Enrichment

Preprocessing

Preprocessing II

Transformation

Your Solution