A hybrid deep learning system of CNN and LRCN to detect cyberbullying from SNS comments

Seok Jun Bu, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The cyberbullying is becoming a significant social issue, in proportion to the proliferation of Social Network Service (SNS). The cyberbullying commentaries can be categorized into syntactic and semantic subsets. In this paper, we propose an ensemble method of the two deep learning models: One is character-level CNN which captures low-level syntactic information from the sequence of characters and is robust to noise using the transfer learning. The other is word-level LRCN which captures high-level semantic information from the sequence of words, complementing the CNN model. Empirical results show that the performance of the ensemble method is significantly enhanced, outperforming the state-of-the-art methods for detecting cyberbullying comment. The model is analyzed by t-SNE algorithm to investigate the mutually cooperative relations between syntactic and semantic models.

Original languageEnglish
Title of host publicationHybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings
EditorsAlvaro Herrero, Hector Quintian, Jose Antonio Saez, Emilio Corchado, Francisco Javier de Cos Juez, Jose Ramon Villar, Enrique A. de la Cal
PublisherSpringer Verlag
Pages561-572
Number of pages12
ISBN (Print)9783319926384
DOIs
Publication statusPublished - 2018 Jan 1
Event13th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2018 - Oviedo, Spain
Duration: 2018 Jun 202018 Jun 22

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10870 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2018
CountrySpain
CityOviedo
Period18/6/2018/6/22

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Bu, S. J., & Cho, S. B. (2018). A hybrid deep learning system of CNN and LRCN to detect cyberbullying from SNS comments. In A. Herrero, H. Quintian, J. Antonio Saez, E. Corchado, F. J. de Cos Juez, J. R. Villar, & E. A. de la Cal (Eds.), Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings (pp. 561-572). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10870 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-92639-1_47