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.
paper
Information Extraction, Opinion Mining, Twitter
English
CLEF 2012 Evaluation Labs and Workshop
2012
2012 Cross Language Evaluation Forum Conference, CLEF 2012
2012
none
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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/43399
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