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Conversational Analytics and Visualisation with Modern Data Science Packages
We illustrate how to use and adapt generic data science packages for visualizing and analyzing conversational data sets. Our approach combines three levels of visualisation and analysis : at corpus level we present an interactive visualisation of the diversity of conversations, at conversation level, the temporal dynamics of relevant variables are presented as dialogic time series; Finally at deeper linguistic level we deal with distributions, clustering techniques and graph visualisation to strengthen insights into language structures. We argue that only such a multi-scale approach makes it possible to grasp conversational data sets without overlooking potential pitfalls.
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