Text Profile
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About Text Profile
Analyze word frequency and text length distributions.
Text Profiler tokenizes every entry in a free-text column, counts word frequency, and plots the distribution of text lengths so you can see at a glance how verbose, repetitive, or inconsistent your text data is. It's aimed at columns like comments, product descriptions, or open-ended survey answers rather than structured numeric or categorical data.
Common word clouds and length histograms surface both the vocabulary patterns in your text and formatting outliers, like entries that are suspiciously short or unusually long.
Category: Analysis & VisualizationCommon Use Cases
- Finding the most common words in customer feedback comments
- Spotting product descriptions that are too short or too long for a listing
- Checking open-ended survey responses for repeated boilerplate answers
Key Features
- Word Frequency Counts
- Text Length Distribution
- Free-Text Column Selection
- Outlier Entry Detection
Run Text Profiler to understand a free-text column's vocabulary and length patterns, then use Text Features to extract structured signals from that text, or Regex Transform to clean up the formatting issues it surfaced.
Frequently Asked Questions
Word frequency counts and text length distributions across your selected column.
Yes, it's also useful for spotting inconsistent formatting or unexpectedly short or long entries in a free-text column.
A quick lens for marketers and analysts working with comments, reviews, or open-text survey fields who need patterns without doing full NLP.
Read the related guide →