This paper presents a simple approach for identifying relevant and reliable news from the Twitter stream, as soon as they emerge. The approach is based on a near-real time systems for sentiment analysis on Twitter, implemented by Fondazione Ugo Bordoni, and properly modified in order to detect the most representative tweets in a specified time slot. This work represents a first step towards the implementation of a prototype supporting journalists in discovering and finding news on Twitter.
Amati, G., Angelini, S., Bianchi, M., Gambosi, G., Rossi, G. (2014). Time-based Microblog Distillation. In Proceedings of the SNOW 2014 Data Challenge.
Time-based Microblog Distillation
GAMBOSI, GIORGIO;ROSSI, GIANLUCA
2014-04-08
Abstract
This paper presents a simple approach for identifying relevant and reliable news from the Twitter stream, as soon as they emerge. The approach is based on a near-real time systems for sentiment analysis on Twitter, implemented by Fondazione Ugo Bordoni, and properly modified in order to detect the most representative tweets in a specified time slot. This work represents a first step towards the implementation of a prototype supporting journalists in discovering and finding news on Twitter.| File | Dimensione | Formato | |
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