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Detecting State of Aggression in Sentences Using CNN

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Speech and Computer (SPECOM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9811))

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Abstract

In this article we study verbal expression of aggression and its detection using machine learning and neural networks methods. We test our results using our corpora of messages from anonymous imageboards. We also compare Random forest classifier with convolutional neural network for “Movie reviews with one sentence per review” corpus.

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Acknowledgments

The survey is being carried out with the support of the Russian Science Foundation (RSF) in the framework of the project 14-18-01059 at the Institute of Applied and Mathematical Linguistics of the Moscow State Linguistic University and with the support of the Russian Foundation for Basic Research (RFBR) in the framework of the project 16-29-12986.

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Authors and Affiliations

  1. Moscow State Linguistic University, Ostozhenka. 38, 119034, Moscow, Russia

    Denis Gordeev

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  1. Denis Gordeev
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Correspondence to Denis Gordeev .

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Editors and Affiliations

  1. SPIIRAS , Saint-Petersburg, Russia

    Andrey Ronzhin

  2. Moscow State Linguistic University , Moscow, Russia

    Rodmonga Potapova

  3. Budapest University of Technology and Economics, Budapest, Hungary

    Géza Németh

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Gordeev, D. (2016). Detecting State of Aggression in Sentences Using CNN. In: Ronzhin, A., Potapova, R., Németh, G. (eds) Speech and Computer. SPECOM 2016. Lecture Notes in Computer Science(), vol 9811. Springer, Cham. https://doi.org/10.1007/978-3-319-43958-7_28

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  • DOI: https://doi.org/10.1007/978-3-319-43958-7_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43957-0

  • Online ISBN: 978-3-319-43958-7

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