A Method of Machine Learning for Social Bot Detection Combined with Sentiment Analysis-Reference-Cited by-同舟云学术

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A Method of Machine Learning for Social Bot Detection Combined with Sentiment Analysis

Published:2022-12-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 5th International Conference on Machine Learning and Natural Language Processing
language:
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Author:

Long Guanghua¹^ORCID,Lin Deyu¹^ORCID,Lei Jie¹^ORCID,Guo Zhiyong¹^ORCID,Hu Yangyang¹^ORCID,Xia Linglin¹^ORCID

Affiliation:

1. School of Software, Nanchang University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3578741.3578790

Reference31 articles.

1. Dissecting a Social Botnet

2. Using sentiment to detect bots on Twitter: Are humans more opinionated than bots?

3. Reverse Engineering Socialbot Infiltration Strategies in Twitter

4. Algorithms, bots, and political communication in the US 2016 election: The challenge of automated political communication for election law and administration

Cited by 2 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. Detection of Sarcasm in Urdu Tweets Using Deep Learning and Transformer Based Hybrid Approaches;IEEE Access;2024

2. A Social Bot Detection Method Using Multi-features Fusion and Model Optimization Strategy;Lecture Notes in Computer Science;2024

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