Online forums provide a unique opportunity for online users to share comments and exchange information on a particular topic. Understanding user behaviour is valuable to organizations and has applications for social and security strategies, for instance, identifying user opinions within a community or predicting future behaviour. Discovering the semantic aspects in Incel forums are the main goal of this research; we apply Natural language processing techniques based on topic modeling to latent topic discovery and opinion mining of users from a popular online Incel discussion forum. To prepare the input data for our study, we extracted the comments from Incels.co. The research experiments show that Artificial Intelligence (AI) based on NLP models can be effective for semantic and emotion knowledge discovery and retrieval of useful information from the Incel community. For example, we discovered semantic-related words that describe issues within a large volume of Incel comments, which is difficult with manual methods.
翻译:在线论坛为在线用户提供了一个独特的机会,就特定专题交流评论和信息。了解用户行为对于各组织来说是有价值的,并且可以应用社会和安全战略,例如,确定社区内的用户意见或预测未来行为。在Incel论坛中发现语义方面是这项研究的主要目标;我们根据专题模型将自然语言处理技术应用于从广受欢迎的网上Incel讨论论坛对用户的潜在专题发现和见解挖掘;为我们的研究准备投入数据,我们从Incels.co提取了意见。研究实验表明,基于NLP模型的人工智能(AI)能够有效地发现和检索Incel社区有用的信息。例如,我们发现大量Incel评论中与语义有关的文字,描述大量Incel评论中的问题,而手工方法则难以做到。