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
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.
File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
Arg-Comp_official_printed_copy.pdf
non disponibili
Tipologia:
Abstract
Licenza:
Licenza non definita
Dimensione
892.24 kB
Formato
Adobe PDF
|
892.24 kB | Adobe PDF | Visualizza/Apri |
I documenti in ARCA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
