A Personal Storytelling about Your Favorite Data
Cyril Labbé, Claudia Roncancio, Damien Bras · 2015
A controlled use of omnipresent data can leverage a potential of services never reached before.In this paper, we propose a user driven approach to take advantage of massive data streams.Our solution, named Stream2Text, relies on a personalized and continuous refinement of data to generate texts (in natural language) that provide a tailored synthesis of relevant data.It enables monitoring by a wide range of users as text streams can be shared on social networks or used individually on mobile devices.