Text network analysis can be used to better understand the news picture of the day and to analyze the current media discourse.
In this case study we import RSS news feeds of the major new outlets to visualize their discourse and to compare their approach.
In this case study we demonstrate how text network analysis can be used to identify the main topical threads of a conference that consists of several talks. We also show how it can be used to identify how closely those talks are related as well as to suggest collaborations between the speakers or relevant thematic threads for the audience.
Visualize your Amazon Kindle book highlights as a network to see the main topics, threads, and keywords inside.
In this article we demonstrate how you can visualize Google search results as a network of interrelated terms to identify the most relevant groups of keywords.
Mental disorders and various self-imposed psychological obstacles often arise because of the lack of choice. Gregory Bateson wrote about the double-bind origin of schizophrenic behavior where “crazy” reaction is simply a way of transcending a limiting situation, when the person sees no other choice. Various psychotherapeutic practices focus on expanding the range of possibilities for the patient, offering more choices than is currently available. Text network visualization can be a useful tool to aid this process. In this case study we are going to demonstrate how it works.
