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.
Excel was a revolutionary product for the time, but in the 21st century columns and rows are not sufficient anymore. What matters today are multidimensional relations between data, which combine a better view of the bigger picture with an attention to detail: networks and graphs.
Text network analysis can be used to gain a good overview of your Evernote or iPhone notes and to increase the precision and speed of information retrieval.
