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Graph-based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles



M. Tarik Altuncu , Sophia N. Yaliraki , Mauricio Barahona


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Extracting information from free text through unsupervised graph-based clustering: an application to patient incident records



M. Tarik Altuncu , Eloise Sorin , Joshua D. Symons , Erik Mayer , Sophia N. Yaliraki , Francesca Toni , Mauricio Barahona

* To appear as a book chapter 

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From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach



M. Tarik Altuncu , Erik Mayer , Sophia N. Yaliraki , Mauricio Barahona

* 25 pages, 2 tables, 8 figures and 5 supplementary figures 

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Content-driven, unsupervised clustering of news articles through multiscale graph partitioning



M. Tarik Altuncu , Sophia N. Yaliraki , Mauricio Barahona

* 8 pages; 5 figures; To present at KDD 2018: Data Science, Journalism & Media workshop 

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From Text to Topics in Healthcare Records: An Unsupervised Graph Partitioning Methodology



M. Tarik Altuncu , Erik Mayer , Sophia N. Yaliraki , Mauricio Barahona


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