摘要
由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在已经可用。根据NewsR X编辑从英国贝尔法斯特发来的新闻报道，这项研究指出，“许多激进主义，特别是暴力主义，都表现在种族间冲突和战争的背景下。这一领域的研究大大有助于我们对这个问题的总体理解。”我们的新闻记者从贝尔法斯特女王大学的研究中获得了一句话：“这种形式的激进主义本质上与团体隶属关系密切相关。然而，我们在这里的重点是推动激进行动的个人动机。虽然激进行动可能包括团体隶属关系的动态（例如，最激进的亲生命活动家是上帝协会的成员），它们也有相当大的个体成分。例如，许多针对堕胎医生或诊所的攻击被归类为“独狼恐怖主义”。在这项研究中，我们试图研究用于文本分析的最先进的机器学习技术是否能够从用户生成的内容中有效地识别出激进行动背后的意图。我们分析了各种激进分子在网上发表的各种激进文本，其中包括无政府主义者、伊朗游击队成员、伊朗游击队成员、伊拉克武装分子、伊拉克武装分子印度革命者、美国民权运动的活动家和上帝军队。
Abstract
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.”
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