When we learn a new language, context is very important. Text network graphs can be used to help students learn how to use the new words and phrases in context, by making the new connections between the disjointed parts of the graph.
Word clouds are used to generate visual summaries of text, however, they have one major deficiency: they completely lose track of the context. As a result, there is a risk of getting false meaningless results and making the wrong assumptions about the underlying data. Text network analysis and visualization can solve this problem.
How to create or import a gexf graph file and to then share it with others as a URL or an iFrame embed.
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.
How to visualize the subtitles of any video and to get to the most essential parts of a talk or a lecture, find the parts that you’re interested in, and to generate new and relevant ideas based on that discourse.
