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.
If you are interested in networks, graphs, data science and text analysis we invite you to take part in this open call.
We invite you to write an article with a case study using InfraNodus network visualization and analysis tool for any task or research practice.
Music can be visualized as a graph. While there are many ways to do that, one of the possibilities is to represent the notes (and octaves) as the nodes and their co-occurrences as the connections between them. This representation allows us to reveal patterns in our composition and to use the powerful graph theory algorithms to uncover interesting insights about the structure of the music we’re playing.
Basic principles of network operation can be successfully used for establishing a new kind of ethics for social encounters. We look at the social dynamics modulated through so-called “Game” utilized by pick-up artists and abstract this approach to learn interesting new behaviors for activating intersubjective relations.
