首页|Reports from Queen’s University Belfast Provide New Insights into Machine Learni ng (Machine Learning for Predicting Intent of Radical Action In Text Data)
Reports from Queen’s University Belfast Provide New Insights into Machine Learni ng (Machine Learning for Predicting Intent of Radical Action In Text Data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news originating from Belfast, United Kingdom, by NewsR x editors, the research stated, “Many cases of radicalism, especially violent ra dicalism, manifest within the context of inter -ethnic conflict and war. Researc h in this domain has significantly contributed to our overarching comprehension of the issue.” Our news journalists obtained a quote from the research from Queen’s University Belfast, “This form of radicalism is inherently linked to the dynamics of group affiliation. However, our focus here is directed towards the individual motivati on driving radical actions. While radical actions may encompass dynamics of grou p affiliation (e.g., the most radical pro -life activists being members of the A rmy of God), they also possess a substantial individual component. For instance, numerous attacks on abortion doctors or clinics are categorized as ‘lone -wolf terrorism’. In this study, we sought to examine whether state-of-the-art Machine Learning technology for text analysis could effectively discern the intent behi nd radical actions from user -generated content. We analyzed a diverse array of radical texts published online by various activists, including anarchists, Irani an guerrilla members, Indian revolutionaries, activists from the US civil rights movement, and The Army of God.”
BelfastUnited KingdomEuropeCyborgsEmerging TechnologiesMachine LearningQueen’s University Belfast
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