Surveys usually come in CSV / Excel formats and network visualization techniques can be very helpful to make more sense of the data. In this short tutorial we will demonstrate how network analysis and visualization can be used to discover crucial relationships in the survey data.
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.
How to use speech-to-text network visualization as a direct feedback tool for teachers and students.
In this tutorial we present a method for topic modeling using text network analysis (TNA) and visualization. The approach we propose is based on identifying topical clusters in text based on co-occurrence of words. We will demonstrate how this approach can be used for topic modeling, how it compares to Latent Dirichlet Allocation (LDA), and how they can be used together to provide more relevant results.
Search engine optimization is a set of strategies used to promote certain content in search results. Using a combination of text mining and network visualization techniques, you can identify discrepancies between what the users search for and what they actually find. You can then create the content that bridges that gap, so that it’s shown at the top of the relevant search results.
