If your data source is "General Text Data," you can process the data with the "Text Clustering Model."

In Text Clustering, you organize text into groups of semantically similar items.

These clusters then represent recurring concerns/opinions/issues or points made by the subjects within these texts items

You could use text clustering to structure, among others:

  • Answers to free-text surveys

  • Comments on social media posts

  • Product reviews

It is often of interest to cross the discovered clusters with other metadata, such as the age or gender of the author, the geographical origin of the post, or the price or brand of a product. Any metadata that you pass to our system in your CSV file will be analyzed and can be used to gain deeper insights into your text data and the clusters.

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