Text Network Analysis with Gephi
by Dmitry Paranyushkin / Nodus Labs
In this workshop we will demonstrate a novel method for text network analysis using Gephi graph visualization software. Unlike other topic modelling methods (latent semantic network analysis, LDA) our approach takes into account the structural properties of text network in order to identify the clusters for meaning circulation and the most influential concepts within the text. You will learn how to create graph network representations of texts and perform their comparative quantitive and qualitative analysis. The method can be especially useful for quick text summarization and group sentiment profiling.
If you'd like to participate, please, send us a short text (200 to 300 words) to firstname.lastname@example.org describing your interests and current occupations. We will create text graphs both for participants and the whole group and see how they relate to one another (see the image attached). This may also be useful for you to meet other like-minded individuals at betahaus or find the people who could complement your cognitive map with their knowledge.
If you don' t have a paypal account please write us an email: email@example.com and pay cash at the workshop!