Hate speech detection has substantially increased interest among researchers in the
domain of natural language processing (NLP) and text mining. The number of studies on this …

Human cognitive functions such as perception, attention, learning, memory, reasoning, and
problem-solving are all significantly influenced by emotion. Emotion has a particularly potent …

This research was conducted to increase accuracy in classifying sentences containing hate
speech and non-hate speech on Twitter. This is important to do because, as technology …

Social media has become an important web technology for creating and sharing information
plus enhancing business reputations worldwide. However, the anonymity accorded by …

Sánchez-Sánchez, AM, Ruiz-Muñoz, D. & Sánchez-Sánchez, FJ (2023). Research trends in
the control of hate speech on social media for the 2016–2022 time frame. Cuadernos …

The growth in the number of social media users has resulted in a corresponding rise in the
spread of hate speech on these platforms, leading to a growing, but little studied, problem …

The unemployment crisis has been a persistent issue for both developed and developing
countries, resulting in an economic indicator deficit. Women are at a disadvantage and …

Hate speech against individuals and groups with certain demographics is a major issue in
social media. Supervised models for hate speech detection mostly utilize labeled data …

The paper represents the state-of-the-art review of the machine learning methods for hate
speech detection. This paper reviews novel applications of machine learning algorithms in …

A investigação apresentada nesta tese teve como objetivo analisar a evolução do
sentimento dos utilizadores do Twitter face ao conflito Ucrânia-Rússia entre agosto de 2022 …