Multi-modal Hate Speech Detection using Machine Learning-Reference-Cited by-同舟云学术

Multi-modal Hate Speech Detection using Machine Learning

Published:2021-12-15 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Big Data (Big Data)
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Author:

Boishakhi Fariha Tahosin,Shill Ponkoj Chandra,Alam Md. Golam Rabiul

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9671263/9671273/09671955.pdf?arnumber=9671955

Reference12 articles.

1. PLOS ONE “Hate speech detection: Challenges and solutions;macavaney;2019 Master Business Analytics Department of Mathematics Faculty of Science,2018

2. Detecting Hate Speech on the World Wide Web;warner,0

3. Audio segmentation for speech recognition using segment features

4. Automatic Speech Recognition: A Review

5. Supervised image classification based on AdaBoost with contextual weak classifiers;nishii;IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium 2004 IGARSS 04 Proceedings,2007

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