In this case study, we will demonstrate the advantages of keeping a personal journal and diary using an AI-based text analysis app. Advanced text analysis capacities combined with GPT AI functionality can dramatically improve the ability to self-reflect and enhance a regular introspection practice.
In this case study, we will demonstrate how you can use text network analysis to analyze EU grant opportunities. We will demonstrate how you can use the graph to identify the most relevant topics in the existing grant proposals. We will also show how you can use network visualization to identify the structural gaps within.
Modulating variability in a text or a conversation can have an interesting effect on its dynamics. A writer will never get stuck, a conversation will always be interesting, a discourse will stay ecological at its core. We propose an approach based on panarchy, embracing diversity and homogeneity at the same time, as applied to discursive practices.
Using text network visualization we can convert any text into a musical score, which can be used to play music live. This case study demonstrates how this can be done in a VR space.
Word clouds provide a quick and visually appealing way to showcase textual content and they have been in use since the 90s. However, they lack precision, interactivity, and context. We developed a methodology and a word visualization tool that can take word clouds to the next level, making them much more useful not only for visualization, but also for research and educational purposes.
