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

Muhammad Atif Qureshi; Colm O'Riordan; Gabriella Pasi

doi:10.1007/978-3-642-45068-6_15

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

Muhammad Atif Qureshi, Colm O'Riordan, Gabriella Pasi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

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.

Original language	English
Title of host publication	Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings
Pages	170-180
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-45068-6_15
Publication status	Published - 2013
Externally published	Yes
Event	9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013 - Singapore, Singapore Duration: 9 Dec 2013 → 11 Dec 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8281 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013
Country/Territory	Singapore
City	Singapore
Period	9/12/13 → 11/12/13

Keywords

Clustering
Monitoring social streams
Priority-level assessment

Access to Document

10.1007/978-3-642-45068-6_15

Cite this

Qureshi, M. A., O'Riordan, C., & Pasi, G. (2013). Clustering with error-estimation for monitoring reputation of companies on Twitter. In Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings (pp. 170-180). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8281 LNCS). https://doi.org/10.1007/978-3-642-45068-6_15

Qureshi, Muhammad Atif ; O'Riordan, Colm ; Pasi, Gabriella. / Clustering with error-estimation for monitoring reputation of companies on Twitter. Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings. 2013. pp. 170-180 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

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Qureshi, MA, O'Riordan, C & Pasi, G 2013, Clustering with error-estimation for monitoring reputation of companies on Twitter. in Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8281 LNCS, pp. 170-180, 9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013, Singapore, Singapore, 9/12/13. https://doi.org/10.1007/978-3-642-45068-6_15

Clustering with error-estimation for monitoring reputation of companies on Twitter. / Qureshi, Muhammad Atif; O'Riordan, Colm; Pasi, Gabriella.
Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings. 2013. p. 170-180 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8281 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Qureshi MA, O'Riordan C, Pasi G. Clustering with error-estimation for monitoring reputation of companies on Twitter. In Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings. 2013. p. 170-180. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-45068-6_15

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

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Keywords

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