Abstract
The aim of this contribution is to easily monitor the reputation of a company in the Twittersphere.We propose a strategy that organizes a stream of tweets into different clusters based on the tweets topics. Furthermore, the obtained clusters are prioritized into different priority levels. A cluster with high priority represents a topic which may affect the reputation of a company, and that consequently deserves immediate attention. The evaluation results show that our method is competitive even though the method does not make use of any external knowledge resource.
| Original language | English |
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| Journal | CEUR Workshop Proceedings |
| Volume | 1178 |
| Publication status | Published - 2012 |
| Externally published | Yes |
| Event | 2012 Cross Language Evaluation Forum Conference, CLEF 2012 - Rome, Italy Duration: 17 Sep 2012 → 20 Sep 2012 |