Abusive words Detection in Persian tweets using machine learning and deep learning techniques-Reference-Cited by-同舟云学术

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Abusive words Detection in Persian tweets using machine learning and deep learning techniques

Published:2021-12-29 Issue: Volume: Page:
ISSN:
Container-title:2021 7th International Conference on Signal Processing and Intelligent Systems (ICSPIS)
language:
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Author:

Dehghani Mohammad¹,Dehkordy Diyana Tehrany²,Bahrani Mohammad³

Affiliation:

1. Tarbiat Modares University,Department of Industrial and Systems Engineering,Tehran,Iran

2. Ferdowsi University of Mashhad,Department of Computer Engineering,Mashhad,Iran

3. Allameh Tabataba'i University,Faculty of Statistics, Mathematics and Computer,Tehran,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9729328/9729329/09729390.pdf?arnumber=9729390

Reference34 articles.

1. Enriching Word Vectors with Subword Information

2. Detecting Offensive Language on Arabic Social Media Using Deep Learning

3. Comparative Performance of Machine Learning and Deep Learning Algorithms for Arabic Hate Speech Detection in OSNs

4. A Statistical Learning Approach to Detect Abusive Twitter Accounts

5. Bert: Pre-training of deep bidirectional transformers for language understanding;devlin;ArXiv Preprint,2018

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1. Offensive language detection in low resource languages: A use case of Persian language;PLOS ONE;2024-06-21

2. Creating an Integrated Browser Plug-in for Detecting and Blocking Obscene Image/Text Content;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02

3. Persian offensive language detection;Machine Learning;2023-08-23

4. Sentiment Analysis of Persian Political Tweets Using ParsBERT Embedding Model with Convolutional Neural Network;2023 9th International Conference on Web Research (ICWR);2023-05-03

5. Hate Sentiment Recognition System For Persian Language;2022 12th International Conference on Computer and Knowledge Engineering (ICCKE);2022-11-17

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