Potential and limitations of commercial sentiment detection tools

Cieliebak, Mark; Dürr, Oliver; Uzdilli, Fatih

Publication type:	Conference paper
Type of review:	Not specified
Title:	Potential and limitations of commercial sentiment detection tools
Authors:	Cieliebak, Mark Dürr, Oliver Uzdilli, Fatih
Proceedings:	Proceedings of the First International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (ESSEM 2013)
Page(s):	47
Pages to:	58
Conference details:	First International Workshop on Emotion and Sentiment in Social and Expressive Media (ESSEM 2013), Turin, Italy, 3 December 2013
Issue Date:	2013
Series:	CEUR Workshop Proceedings
Series volume:	1096
Publisher / Ed. Institution:	RWTH Aachen
ISSN:	1613-0073
Other identifiers:	urn:nbn:de:0074-1096-7
Language:	English
Subjects:	Corpus analytics; Machine learning; Sentiment detection
Subject (DDC):	006: Special computer methods
Abstract:	In this paper, we analyze the quality of several commercial tools for sentiment detection. All tools are tested on nearly 30,000 short texts from various sources, such as tweets, news, reviews etc. In addition to the quality analysis (measured by various metrics), we also investigate the effect of increasing text length on the performance. Finally, we show that combining all tools using machine learning techniques increases the overall performance significantly.
URI:	http://ceur-ws.org/Vol-1096/paper4.pdf https://digitalcollection.zhaw.ch/handle/11475/7121
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Engineering
Organisational Unit:	Institute of Computer Science (InIT) Institute of Data Analysis and Process Design (IDP)
Appears in collections:	Publikationen School of Engineering

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Cieliebak, M., Dürr, O., & Uzdilli, F. (2013). Potential and limitations of commercial sentiment detection tools [Conference paper]. Proceedings of the First International Workshop on Emotion and Sentiment in Social and Expressive Media: Approaches and Perspectives from AI (ESSEM 2013), 47–58. http://ceur-ws.org/Vol-1096/paper4.pdf

Cieliebak, M., Dürr, O. and Uzdilli, F. (2013) ‘Potential and limitations of commercial sentiment detection tools’, in Proceedings of the First International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (ESSEM 2013). RWTH Aachen, pp. 47–58. Available at: http://ceur-ws.org/Vol-1096/paper4.pdf.

M. Cieliebak, O. Dürr, and F. Uzdilli, “Potential and limitations of commercial sentiment detection tools,” in Proceedings of the First International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (ESSEM 2013), 2013, pp. 47–58. [Online]. Available: http://ceur-ws.org/Vol-1096/paper4.pdf

CIELIEBAK, Mark, Oliver DÜRR und Fatih UZDILLI, 2013. Potential and limitations of commercial sentiment detection tools. In: Proceedings of the First International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (ESSEM 2013) [online]. Conference paper. RWTH Aachen. 2013. S. 47–58. Verfügbar unter: http://ceur-ws.org/Vol-1096/paper4.pdf

Cieliebak, Mark, Oliver Dürr, and Fatih Uzdilli. 2013. “Potential and Limitations of Commercial Sentiment Detection Tools.” Conference paper. In Proceedings of the First International Workshop on Emotion and Sentiment in Social and Expressive Media: Approaches and Perspectives from AI (ESSEM 2013), 47–58. RWTH Aachen. http://ceur-ws.org/Vol-1096/paper4.pdf.

Cieliebak, Mark, et al. “Potential and Limitations of Commercial Sentiment Detection Tools.” Proceedings of the First International Workshop on Emotion and Sentiment in Social and Expressive Media: Approaches and Perspectives from AI (ESSEM 2013), RWTH Aachen, 2013, pp. 47–58, http://ceur-ws.org/Vol-1096/paper4.pdf.