The aim of this research 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 assigned 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. © 2013 Springer-Verlag.

Qureshi, M., O'Riordan, C., Pasi, G. (2013). Clustering with error-estimation for monitoring reputation of companies on Twitter. In 9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013; Singapore; Singapore; 9-11 December 2013 (pp.170-180) [10.1007/978-3-642-45068-6_15].

Clustering with error-estimation for monitoring reputation of companies on Twitter

QURESHI, MUHAMMAD ATIF;PASI, GABRIELLA
2013

Abstract

The aim of this research 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 assigned 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. © 2013 Springer-Verlag.
paper
Clustering; Monitoring social streams; Priority-level assessment; Computer Science (all); Theoretical Computer Science
English
9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013
2013
9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013; Singapore; Singapore; 9-11 December 2013
9783642450679
2013
8281
170
180
none
Qureshi, M., O'Riordan, C., Pasi, G. (2013). Clustering with error-estimation for monitoring reputation of companies on Twitter. In 9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013; Singapore; Singapore; 9-11 December 2013 (pp.170-180) [10.1007/978-3-642-45068-6_15].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/58510
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