For or Against?

Souza, Bruno Á.; Almeida, Thais Oliveira; Menezes, Alice A. F.; Nakamura, Fabíola G.; Figueiredo, Carlos M. S.; Nakamura, Eduardo F.

doi:10.1145/2976796.2988216

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Psychometric Methods1

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Cited by 9 publications

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“…The study by Snefjella et al Bayes. In conclusion, the SVM presented the best performance for detecting the comments' polarity about the impeachment process [56].…”

Section: Psychometric Methodsmentioning

confidence: 89%

A survey of machine learning based techniques for hate speech detection on Twitter

De Oliveira,

Reis,

Ebecken

2023

Cad. Pedagógico

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The use of the Internet and social networks for communication has significantly increased in recent years. Twitter is the third most popular worldwide Online Social Network (OSN), only after Facebook and Instagram. Compared to other OSNs, Twitter presents a simpler data model and more straightforward data access API, making it a valuable tool for studying and analyzing online behavior, including abusive patterns. This survey attempts to create a machine learning-based guide for automatic hate speech classification, including a description of Twitter's technology and terminology, social graphs, sentiment analysis concepts, and hate speech identification. This study also adopted a systematic literature review on the most advanced computing techniques involved with the subject, focusing on state-of-the-art machine learning and research directions.

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“…The study by Snefjella et al Bayes. In conclusion, the SVM presented the best performance for detecting the comments' polarity about the impeachment process [56].…”

Section: Psychometric Methodsmentioning

confidence: 89%