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Published in:

Volume 5 Issue 6
June-2018
eISSN: 2349-5162

Unique Identifier

JETIR1806591

Page Number

589-591

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Title

A survey on Semantic-Enhanced Marginalized Denoising Auto-Encoder

ISSN

2349-5162

Cite This Article

"A survey on Semantic-Enhanced Marginalized Denoising Auto-Encoder", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.589-591, June-2018, Available :http://www.jetir.org/papers/JETIR1806591.pdf

Abstract

As a side effect of increasingly popular social media, cyberbullying has emerged as a serious problem afflicting children, adolescents and young adults. Machine learning techniques make automatic detection of bullying messages in social media possible, and this could help to construct a healthy and safe social media environment. In this meaningful research area, one critical issue is robust and discriminative numerical representation learning of text messages. In this paper, we propose a new representation learning method to tackle this problem. Our method named Semantic-Enhanced Marginalized Denoising Auto-Encoder (smSDA) is developed via semantic extension of the popular deep learning model stacked denoising autoencoder. The semantic extension consists of semantic dropout noise and sparsity constraints, where the semantic dropout noise is designed based on domain knowledge and the word embedding technique. Our proposed method is able to exploit the hidden feature structure of bullying information and learn a robust and discriminative representation of text. Comprehensive experiments on two public cyberbullying corpora (Twitter and MySpace) are conducted, and the results show that our proposed approaches outperform other baseline text representation learning methods.

Key Words

Cyberbullying Detection, Text Mining, Representation Learning, Stacked Denoising Autoencoders

Cite This Article

"A survey on Semantic-Enhanced Marginalized Denoising Auto-Encoder", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp589-591, June-2018, Available at : http://www.jetir.org/papers/JETIR1806591.pdf

Publication Details

Published Paper ID: JETIR1806591
Registration ID: 183219
Published In: Volume 5 | Issue 6 | Year June-2018
DOI (Digital Object Identifier):
Page No: 589-591
ISSN Number: 2349-5162

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Cite This Article

"A survey on Semantic-Enhanced Marginalized Denoising Auto-Encoder", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp589-591, June-2018, Available at : http://www.jetir.org/papers/JETIR1806591.pdf




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