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Visualizing Topic Progression of a Text
After attending the Wolfram Summer Camp last year, Laney Moy, Rachna Gupta, and Alex Alexandrovskiy were part of the Wolfram Emerging Leaders Program (WELP) under the mentorship of Rory Foulger. As a WELP project team, they created a tool to summarize and present the structure of a complex piece of natural language in graphical form by identifying the dominant topics within the text and visualizing their progression. They use a simple clustering algorithm to assign words to topics based on their distributions in the text and feed the resulting data into a number of different visualization functions, effectively providing a semantic overview of the text. These methods could be applied to long-form writing such as novels, articles or textbooks, as well as transcripts of audio recordings like podcasts, lectures and meetings.
More about the Wolfram Summer Camp and other programs: https://education.wolfram.com/programs/
Channels: Technology Conference
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