Any discourse can be represented as a network. A narrative, then, is a path through this network. Depending on how the journey is made, the meaning changes. Measuring the dynamics of this movement through ideas can help us understand how they propagate, and how this dynamic structure of meaning unfolds in time.
Many AI writing assistants today are focused on generating the text that provides the answers. What if we used the AI to generate questions? In this case, it would not think for us, but with us. Helping us discover new perspectives and ways of seeing things.
How to understand the symptoms and treatments better. Medical records analysis using text network visualization.
A comparison of text network analysis, dictionary-based AFINN, and machine-learning based BERT AI models for sentiment analysis of customer reviews.
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.
