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Neural Computing and Applications

Erschienen in:

20.03.2018 | S.I: INDIA INTL. CONGRESS ON COMPUTATIONAL INTELLIGENCE 2017

Verbal aggression detection on Twitter comments: convolutional neural network for short-text sentiment analysis

verfasst von: Junyi Chen, Shankai Yan, Ka-Chun Wong

Erschienen in: Neural Computing and Applications | Ausgabe 15/2020

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Abstract

Cyberbullying and hate speeches are common issues in online etiquette. To tackle this highly concerned problem, we propose a text classification model based on convolutional neural networks for the de facto verbal aggression dataset built in our previous work and observe significant improvement, thanks to the proposed 2D TF-IDF features instead of pre-trained methods. Experiments are conducted to demonstrate that the proposed system outperforms our previous methods and other existing methods. A case study of word vectors is carried out to address the difficulty in using pre-trained word vectors for our short-text classification task, demonstrating the necessities of introducing 2D TF-IDF features. Furthermore, we also conduct visual analysis on the convolutional and pooling layers of the convolutional neural networks trained.

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Titel: Verbal aggression detection on Twitter comments: convolutional neural network for short-text sentiment analysis
verfasst von: Junyi Chen
Shankai Yan
Ka-Chun Wong
Publikationsdatum: 20.03.2018
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 15/2020
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-018-3442-0

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