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Emotion Effect Detection with a Two-Stage Model

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Cloud Computing and Security (ICCCS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11068))

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Abstract

Textual emotion analysis is an important research issue in natural language processing. In this paper, we address a novel task on emotion, called emotion effect detection, which aims to identify the effect event of a particular emotion happening. To tackle this task, we propose a two-stage model which consists of two components: the identification module and the extraction module. In detail, the identification module aims to judge whether a sentence group contains emotion effect, and the extraction module aims to extract the emotion effect from a sentence group. These two modules are learned with maximum entropy and conditional random field (CRF) methods respectively. Empirical studies demonstrate that the proposed two-stage model yields a better result than the one-stage model.

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Notes

  1. 1.

    http://www.sinica.edu.tw/ftms-bin/kiwi1/mkiwi.sh.

  2. 2.

    http://crfpp.sourceforge.net/.

  3. 3.

    http://mallet.cs.umass.edu/.

  4. 4.

    http://nlp.stanford.edu/software/lex-parser.shtml.

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Acknowledgements

This research is supported by the Program of Educational Commission of Anhui Province under Grants KJ2017A104, National Natural Science Foundation of China under Grants 61501005, and Science and Technology Projects of Production under Grant No. 2015cxy03, which are gratefully acknowledged.

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Authors and Affiliations

  1. College of Computer and Information, Anhui Polytechnic University, Wuhu, People’s Republic of China

    Nan Yan

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  1. Nan Yan
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Correspondence to Nan Yan .

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Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Zhaoqing Pan

  3. Department of Computer Science, Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Yan, N. (2018). Emotion Effect Detection with a Two-Stage Model. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11068. Springer, Cham. https://doi.org/10.1007/978-3-030-00021-9_46

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  • DOI: https://doi.org/10.1007/978-3-030-00021-9_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00020-2

  • Online ISBN: 978-3-030-00021-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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