Toxic Speech Classification using Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Toxic Speech Classification using Machine Learning Algorithms

Published:2022-04-22 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Electronic Systems and Intelligent Computing (ICESIC)
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Author:

Sumanth Pabba¹,Samiuddin Syed¹,Jamal K.¹,Domakonda Srikanth¹,Shivani Pathi¹

Affiliation:

1. GRIET,ECE,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9783220/9783472/09783475.pdf?arnumber=9783475

Reference22 articles.

1. Fake news detection: Network data from social media used to predict fakes;granskogen;Proc CEUR Workshop,0

2. From population to production: 50 years of scientific literature on how to feed the world

3. Cloud-based Textual Analysis as a Basis for Document Classification

4. Fake News Detection in Social Media using Blockchain

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1. A Systematic Review of Toxicity in Large Language Models: Definitions, Datasets, Detectors, Detoxification Methods and Challenges;2024-07-15

2. Design of Custom Keyword Recognition using Edge Impulse on Arduino Nano 33 BLE Sense;2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2023-05-04

3. Toxic Comment Classification Using S-BERT Vectorization and Random Forest Algorithm;2023 IEEE International Conference on Contemporary Computing and Communications (InC4);2023-04-21

4. Detecting Toxic Comments Using FastText, CNN, and LSTM Models;Communications in Computer and Information Science;2023

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