Session 3 - Preprocessing, Transformation, and Classification Models

Solution 08 - Text Classification II (Bonus)

Learning objective: In this exercise, you will further practice performing classification on a different data set.

Workflow description: This workflow imports two different datasets, enriches, preprocesses and transforms them (the feature space of the second set of documents has to be identical to the feature set of the first set of documents) before training a simple classifier.

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

Perform classification task on a different data set

1. Create document vectors for the second set of documents. The feature space of the second set of documents has to be identical to the feature set of the first set of documents.

   • Create a bag of words, compute relative term frequency and create identical document vectors using the Document Vector Applier node.

2. Extract class labels/category for prediction, and assign colors.

3. Apply the trained model on the second set of documents.

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Reading Textual Data

Enrichment

Preprocessing

Transformation

Classification

Your Solution