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.
Qureshi, M., O'Riordan, C., Pasi, G. (2012). Concept Term Expansion Approach for Monitoring Reputation of Companies on Twitter. In 2012 Cross Language Evaluation Forum Conference, CLEF 2012.
Concept Term Expansion Approach for Monitoring Reputation of Companies on Twitter
QURESHI, MUHAMMAD ATIF;PASI, GABRIELLA
2012
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.