Hate Speech Text Classification Using Long Short-Term Memory (LSTM)

Author:

Ariwibowo Suminar1,Girsang Abba Suganda1,Diana 2

Affiliation:

1. Bina Nusantara University,BINUS Graduate Program - Master of Computer Science,Computer Science Department,Jakarta,Indonesia,11480

2. School of Computer Science, Bina Nusantara University,Computer Science Department,Jakarta,Indonesia,11480

Publisher

IEEE

Reference20 articles.

1. Detection of Hate Speech and Offensive Language in Twitter Data Using LSTM Model

2. LSTM Recurrent Neural Networks for Short Text and Sentiment Classification;nowak;International Conference on Artificial Intelligence and Soft Computing,2017

Cited by 3 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. Twitter Sentiment Analysis Using LSTM-Dense-Dropout Hybrid Deep Learning Approach;Lecture Notes in Networks and Systems;2024

2. Comparison of Deep Learning Methods in Detecting Hate Speech in Indonesian Tweets;Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology;2023-10-24

3. Comparative Analysis of Deep Learning and Machine Learning Techniques for Question Classification in Bloom's Taxonomy;2023 1st International Conference on Advanced Engineering and Technologies (ICONNIC);2023-10-14

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3