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7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing pp 69–79Cite as

Towards Cross-Language Sentiment Analysis through Universal Star Ratings

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 172))

Abstract

The abundance of sentiment-carrying user-generated content renders automated cross-language informationmonitoring tools crucial for today’s businesses. In order to facilitate cross-language sentiment analysis, we propose to compare the sentiment conveyed by unstructured text across languages through universal star ratings for intended sentiment. We demonstrate that the way natural language reveals people’s intended sentiment differs across languages. The results of our experiments with respect to modeling this relation for both Dutch and English by means of a monotone increasing step function mainly suggest that language-specific sentiment scores can separate universal classes of intended sentiment from one another to a limited extent.

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Author information

Authors and Affiliations

  1. Econometric Institute, Erasmus University Rotterdam, P.O. Box 1738, NL-3000 DR, Rotterdam, The Netherlands

    Alexander Hogenboom, Malissa Bal, Flavius Frasincar & Daniella Bal

Authors
  1. Alexander Hogenboom
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  2. Malissa Bal
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  3. Flavius Frasincar
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  4. Daniella Bal
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Corresponding author

Correspondence to Alexander Hogenboom .

Editor information

Editors and Affiliations

  1. Staffordshire University, FCET, Stafford, ST18 OAD, United Kingdom

    Lorna Uden

  2. Department Computer Science and, Artificial Intelligence, Universidad Granada, C/ Periodista Daniel Saucedo Aranda s/n, Granada, 18071, Spain

    Francisco Herrera

  3. , Faculty of Computer Science, Pontificial University of Salamanca, C/Compañía 5, Salamanca, 37002, Spain

    Javier Bajo Pérez

  4. Department of Computing Science, and Control, Universidad Salamanca, Plaza de la Merced, s/n s/n, Salamanca, 37008, Spain

    Juan Manuel Corchado Rodríguez

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Hogenboom, A., Bal, M., Frasincar, F., Bal, D. (2013). Towards Cross-Language Sentiment Analysis through Universal Star Ratings. In: Uden, L., Herrera, F., Bajo Pérez, J., Corchado Rodríguez, J. (eds) 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing. Advances in Intelligent Systems and Computing, vol 172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30867-3_7

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  • DOI: https://doi.org/10.1007/978-3-642-30867-3_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30866-6

  • Online ISBN: 978-3-642-30867-3

  • eBook Packages: EngineeringEngineering (R0)

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