Session 3 - Preprocessing, Transformation, and Classification Models

Solution 06 - Transformation

Computing relative term frequency

1. Compute relative term frequency with the TF node.

2. Create document vectors (bitvectors or numerical with TF values) using the Document Vector node.

3. Extract class label/category for prediction with the Document Data Extractor node.

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Reading Textual Data

Enrichment

Preprocessing

Preprocessing II

Your Solution

Learning objective: In this exercise, you will practice transforming pre-processed text data.

Workflow description: This workflow computes relative term frequency, creates document vectors and extract class label/category for prediction.

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