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International Conference on Research in Networking

NETWORKING 2012: NETWORKING 2012 pp 97–108Cite as

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Context-Sensitive Sentiment Classification of Short Colloquial Text

Context-Sensitive Sentiment Classification of Short Colloquial Text

  • Norbert Blenn20,
  • Kassandra Charalampidou20 &
  • Christian Doerr20 
  • Conference paper
  • 1774 Accesses

  • 6 Citations

Part of the Lecture Notes in Computer Science book series (LNCCN,volume 7289)

Abstract

The wide-spread popularity of online social networks and the resulting availability of data to researchers has enabled the investigation of new research questions, such as the analysis of information diffusion and how individuals are influencing opinion formation in groups. Many of these new questions however require an automatic assessment of the sentiment of user statements, a challenging task further aggravated by the unique communication style used in online social networks.

This paper compares the sentiment classification performance of current analyzers against a human-tagged reference corpus, identifies the major challenges for sentiment classification in online social applications and describes a novel hybrid system that achieves higher accuracy in this type of environment.

Keywords

  • Online Social Networks
  • Sentiment Analysis
  • Text Classification

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Author information

Authors and Affiliations

  1. Department of Telecommunication, TU Delft, Mekelweg 4, 2628CD, Delft, The Netherlands

    Norbert Blenn, Kassandra Charalampidou & Christian Doerr

Authors
  1. Norbert Blenn
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  2. Kassandra Charalampidou
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  3. Christian Doerr
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Editor information

Editors and Affiliations

  1. Department of Telecommunications Engineering, Czech Technical University in Prague, Technicka 2, 166 27, Prague 6, Czech Republic

    Robert Bestak & Lukas Kencl & 

  2. Alcatel-Lucent, Bell Labs, 600 Mountain Avenue, 07974-0636, Murray Hill, NJ, USA

    Li Erran Li

  3. Instituto IMDEA Networks, Avenida del Mar Mediterraneo 22, Leganes, 28918, Madrid), Spain

    Joerg Widmer

  4. Tsinghua-ChinaCache Joint Laboratory, Tsinghua University, FIT 3-429, Haidian District, 100016, Beijing, China

    Hao Yin

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© 2012 IFIP International Federation for Information Processing

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Cite this paper

Blenn, N., Charalampidou, K., Doerr, C. (2012). Context-Sensitive Sentiment Classification of Short Colloquial Text. In: Bestak, R., Kencl, L., Li, L.E., Widmer, J., Yin, H. (eds) NETWORKING 2012. NETWORKING 2012. Lecture Notes in Computer Science, vol 7289. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30045-5_8

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  • DOI: https://doi.org/10.1007/978-3-642-30045-5_8

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  • Print ISBN: 978-3-642-30044-8

  • Online ISBN: 978-3-642-30045-5

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