Text Features
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About Text Features
Count words, characters, and extract patterns.
For a chosen text column, the tool computes per-row metrics, word count, character count, and presence/count of specific patterns like digits, punctuation, or capital letters, writing each as its own new column. These numeric features are exactly the kind of engineered inputs used to score text length, complexity, or structure before feeding a column into a model or a filter.
Category: Transformation & LogicCommon Use Cases
- Generating a word-count column from product descriptions to flag entries that are too short for SEO
- Counting digits in a free-text field to separate rows that contain a reference number from those that don't
- Measuring character length of customer feedback to segment short vs. detailed responses
Key Features
- Per-row word count and character count columns
- Pattern presence/count features (digits, punctuation, capitals)
- Outputs numeric feature columns ready for filtering or modeling
Use Text Analysis first for a broader statistical view of a text column, then generate specific numeric features here; if you need a particular substring rather than a count, switch to Regex Transform.
Frequently Asked Questions
Word counts, character counts, and pattern extraction from a text column.
Yes, pattern extraction lets you pull out specific structures rather than just raw counts.
Useful groundwork for anyone turning a free-text column into structured features for filtering, scoring, or modeling.
Read the related guide →