International Business Machines Corporation

Olga Saprycheva

Angelo Danducci, Ii

Kirti A Apte

Tyrome Sweet

A mechanism is provided in a data processing system for role-based cross data source actionable conversation summarization. The mechanism aggregates conversation data from a plurality of conversation data sources. The mechanism applies a computerized summarization process to the aggregated conversation data to generate at least one role-based summary of the aggregated conversation data. The mechanism applies a machine learning classifier to the at least one role-based summary to determine if each sentence in the at least one role-based summary is an actionable item. Responsive to detecting an actionable item, the mechanism adds the actionable item to the at least one role-based summary.

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Austin, TX, United States of America

Olga Saprycheva