Cluster Extraction and Coding: Automatic grouping of similar sentences

This video shows you how to use the CLUSTER EXTRACTION feature which is a unique retrieval feature that allows you quickly identify all similar paragraphs or sentences in a large collection of documents. This can speed up the coding process of large quantities of open-ended responses, Twitter feeds or short comments by a factor that may vary from two-to-50 times faster or more, compared to what someone would achieve by manually coding those responses one at a time. This tool relies on a patent-pending algorithm that can quickly compare up to 32,000 text segments and group the most similar ones into clusters. The number of items that may be clustered depends on the amount of memory available. If all extracted segments cannot fit into memory, QDA Miner will offer the possibility to select a random sample to be clustered.

For written instructions: See Manual pages 197-201