# Extract topics and create thematic summaries from open text data

Extract topics and summarise open text using Large Language Models (LLMs). The model will loop through all text rows to find the most relevant general topics and subtopics, and provide a short summary of each. If you have specific topics in mind, you can enter them in 'Provide a list of specific topics' below.

NOTE: LLMs are not 100% accurate and may produce biased or incorrect responses. All files downloaded from this app **need to be checked by a human** before they are used in further outputs. Best results come from providing a clear, unambiguous list of suggested topics to the LLM so that it will follow your standard analysis procedure as closely as possible.

Try an example by clicking on one of the example datasets below to see typical outputs the app can produce. There is also a user guide provided alongside this app - please ask your system administrator if you do not have access.