Vinnova works with big project populations that answer to their project calls. An initial important step when they start receiving proposals to a project call is to identify the topics present in the population of documents. By using BERTopic, we provide an initial visualization of the possible topic groups or work areas found, as well as titles or headings for them. This last part is done with GPT-SW3, which is prompted to produce representative labels of each of the groups of texts. This way, the user is provided with a visual representation of the projects that they have received and can make decisions based on the general groups found.

A related functionality that we have in the app is one where the user can write their own headings and descriptions of the topics that they expect to find in the population with which they are working. This way, the projects are mapped to their most suitable topics and a visualization of the topic distribution is provided.