On the Difficulty of Clustering Microblog Texts for Online Reputation Management

Fernando Perez-Tellez; John Cardiff; David Pinto; Paolo Rosso

On the Difficulty of Clustering Microblog Texts for Online Reputation Management

Fernando Perez-Tellez
, John Cardiff
, David Pinto
, Paolo Rosso

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

Abstract

In recent years microblogs have taken on an important role in the marketing sphere, in which they have been used for sharing opinions and/or experiences about a product or service. Companies and researchers have become interested in analysing the content generated over the most popular of these, the Twitter platform, to harvest information critical for their online reputation management (ORM). Critical to this task is the efficient and accurate identification of tweets which refer to a company distinguishing them from those which do not. The aim of this work is to present and compare two different approaches to achieve this. The obtained results are promising while at the same time highlighting the difficulty of this task.

Original language	English
Title of host publication	Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, WASSA 2011 at the 49th Annual Meeting of the Association for Computational Linguistics
Subtitle of host publication	Human Language Technologies, ACL-HLT 2011 - Proceedings
Editors	Alexandra Balahur, Ester Boldrini, Andres Montoyo, Patricio Martinez-Barco
Publisher	Association for Computational Linguistics (ACL)
Pages	146-152
Number of pages	7
ISBN (Electronic)	9781937284060
Publication status	Published - 2011
Event	2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, WASSA 2011 at the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011 - Portland, United States Duration: 24 Jun 2011 → …

Publication series

Name	Proceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN (Print)	0736-587X

Conference

Conference	2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, WASSA 2011 at the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011
Country/Territory	United States
City	Portland
Period	24/06/11 → …

Cite this

Perez-Tellez, F., Cardiff, J., Pinto, D., & Rosso, P. (2011). On the Difficulty of Clustering Microblog Texts for Online Reputation Management. In A. Balahur, E. Boldrini, A. Montoyo, & P. Martinez-Barco (Eds.), Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, WASSA 2011 at the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011 - Proceedings (pp. 146-152). (Proceedings of the Annual Meeting of the Association for Computational Linguistics). Association for Computational Linguistics (ACL).

Perez-Tellez, Fernando ; Cardiff, John ; Pinto, David et al. / On the Difficulty of Clustering Microblog Texts for Online Reputation Management. Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, WASSA 2011 at the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011 - Proceedings. editor / Alexandra Balahur ; Ester Boldrini ; Andres Montoyo ; Patricio Martinez-Barco. Association for Computational Linguistics (ACL), 2011. pp. 146-152 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

@inproceedings{940bf700961a46a782acf19864d8b710,

title = "On the Difficulty of Clustering Microblog Texts for Online Reputation Management",

abstract = "In recent years microblogs have taken on an important role in the marketing sphere, in which they have been used for sharing opinions and/or experiences about a product or service. Companies and researchers have become interested in analysing the content generated over the most popular of these, the Twitter platform, to harvest information critical for their online reputation management (ORM). Critical to this task is the efficient and accurate identification of tweets which refer to a company distinguishing them from those which do not. The aim of this work is to present and compare two different approaches to achieve this. The obtained results are promising while at the same time highlighting the difficulty of this task.",

author = "Fernando Perez-Tellez and John Cardiff and David Pinto and Paolo Rosso",

note = "Publisher Copyright: {\textcopyright} 2011 Association for Computational Linguistics.All right reserved.; 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, WASSA 2011 at the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011 ; Conference date: 24-06-2011",

year = "2011",

language = "English",

series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",

publisher = "Association for Computational Linguistics (ACL)",

pages = "146--152",

editor = "Alexandra Balahur and Ester Boldrini and Andres Montoyo and Patricio Martinez-Barco",

booktitle = "Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, WASSA 2011 at the 49th Annual Meeting of the Association for Computational Linguistics",

}

Perez-Tellez, F , Cardiff, J, Pinto, D & Rosso, P 2011, On the Difficulty of Clustering Microblog Texts for Online Reputation Management. in A Balahur, E Boldrini, A Montoyo & P Martinez-Barco (eds), Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, WASSA 2011 at the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011 - Proceedings. Proceedings of the Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), pp. 146-152, 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, WASSA 2011 at the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011, Portland, United States, 24/06/11.

On the Difficulty of Clustering Microblog Texts for Online Reputation Management. / Perez-Tellez, Fernando ; Cardiff, John; Pinto, David et al.
Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, WASSA 2011 at the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011 - Proceedings. ed. / Alexandra Balahur; Ester Boldrini; Andres Montoyo; Patricio Martinez-Barco. Association for Computational Linguistics (ACL), 2011. p. 146-152 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

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

TY - GEN

T1 - On the Difficulty of Clustering Microblog Texts for Online Reputation Management

AU - Perez-Tellez, Fernando

AU - Cardiff, John

AU - Pinto, David

AU - Rosso, Paolo

PY - 2011

Y1 - 2011

N2 - In recent years microblogs have taken on an important role in the marketing sphere, in which they have been used for sharing opinions and/or experiences about a product or service. Companies and researchers have become interested in analysing the content generated over the most popular of these, the Twitter platform, to harvest information critical for their online reputation management (ORM). Critical to this task is the efficient and accurate identification of tweets which refer to a company distinguishing them from those which do not. The aim of this work is to present and compare two different approaches to achieve this. The obtained results are promising while at the same time highlighting the difficulty of this task.

AB - In recent years microblogs have taken on an important role in the marketing sphere, in which they have been used for sharing opinions and/or experiences about a product or service. Companies and researchers have become interested in analysing the content generated over the most popular of these, the Twitter platform, to harvest information critical for their online reputation management (ORM). Critical to this task is the efficient and accurate identification of tweets which refer to a company distinguishing them from those which do not. The aim of this work is to present and compare two different approaches to achieve this. The obtained results are promising while at the same time highlighting the difficulty of this task.

UR - https://www.scopus.com/pages/publications/84863383014

M3 - Conference contribution

AN - SCOPUS:84863383014

T3 - Proceedings of the Annual Meeting of the Association for Computational Linguistics

SP - 146

EP - 152

BT - Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, WASSA 2011 at the 49th Annual Meeting of the Association for Computational Linguistics

A2 - Balahur, Alexandra

A2 - Boldrini, Ester

A2 - Montoyo, Andres

A2 - Martinez-Barco, Patricio

PB - Association for Computational Linguistics (ACL)

T2 - 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, WASSA 2011 at the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011

Y2 - 24 June 2011

ER -

Perez-Tellez F , Cardiff J, Pinto D, Rosso P. On the Difficulty of Clustering Microblog Texts for Online Reputation Management. In Balahur A, Boldrini E, Montoyo A, Martinez-Barco P, editors, Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, WASSA 2011 at the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011 - Proceedings. Association for Computational Linguistics (ACL). 2011. p. 146-152. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

On the Difficulty of Clustering Microblog Texts for Online Reputation Management

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