Twitter’s Hate Speech Multi-label Classification Using Bidirectional Long Short-term Memory (BiLSTM) Method-Reference-Cited by-同舟云学术

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Twitter’s Hate Speech Multi-label Classification Using Bidirectional Long Short-term Memory (BiLSTM) Method

Published:2021-10-27 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Artificial Intelligence and Big Data Analytics
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Author:

Ilma Refa Annisatul,Hadi Setiawan,Helen Afrida

Funder

Universitas Padjadjaran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9688570/9689693/09689767.pdf?arnumber=9689767

Reference22 articles.

1. Improving Sentiment Analysis of Short Informal Indonesian Product Reviews using Synonym Based Feature Expansion

2. Twitter as a corpus for sentiment analysis and opinion mining;pak;Proc 7th Int Conf Lang Resour Eval Lr 2010,2010

3. Glove: Global Vectors for Word Representation

4. Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling;zhou,0

5. Combining deep belief networks and bidirectional long short-term memory: Case study: Sleep stage classification

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Feature Extraction in Hierarchical Multi-Label Classification for Dangerous Speech Identification on Twitter Texts;2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE);2023-02-16

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