Interaction mining is about discovering and extracting insightful information from digital con- versations, namely those human–human information exchanges mediated by digital network technology. We present in this article a computational model of natural arguments and its imple- mentation for the automatic argumentative analysis of digital conversations, which allows us to produce relevant information to build interaction business analytics applications overcom- ing the limitations of standard text mining and information retrieval technology. Applications include advanced visualisations and abstractive summaries.

Automatic argumentative analysis for interaction mining

DELMONTE, Rodolfo
2011-01-01

Abstract

Interaction mining is about discovering and extracting insightful information from digital con- versations, namely those human–human information exchanges mediated by digital network technology. We present in this article a computational model of natural arguments and its imple- mentation for the automatic argumentative analysis of digital conversations, which allows us to produce relevant information to build interaction business analytics applications overcom- ing the limitations of standard text mining and information retrieval technology. Applications include advanced visualisations and abstractive summaries.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/39476
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