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Result of the project "Story Clustering"

Story Clustering

Storyclash collects social media contributions from online media and companies. Headlines and interactions are stored. The WIN-LAB has developed a clustering procedure that groups the social media contributions into topics using unsupervised learning methods such as LDA. For each company, a topic profile will be automatically created that characterizes that company in terms of its social media publications.

Interactive data visualizations are used to interpret the clusters as well as the distances between the clusters.

Period

June 2019 – May 2020

Support program

FFG Basic Program

Project management

Andreas Stöckl

Project partner

Storyclash GmbH

Online TV User Experience B2B Leadscoring with Machine Learning
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WIN Lab
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Austria
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