Identification of Unsuitable Content for Children in Video Gaming Forums

Noelia Navarro-Murillo, Paulo Calvo-Vargas, Edgar Casasola-Murillo
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Abstract

Online forums for videogames fans may represent a threat of exposure to topics and language non-suitable for their age. The following case study shows how the analysis of topics threads based on interactions of micro messages extracted from videogames forums allowed us to identify the challenges associated to the processing of this particular type of content. An original technique for segmentation of groups of interactions was evaluated with the objective of applying algorhythms for topics detection. Despite the high volume of micro messages that were highly disperse, overloaded with emojis and which contained slang associated with every community and videogame; it was possible to detect inappropriate topics according to the age associated to the category of the videogame.
识别电子游戏论坛中不适合儿童的内容
电子游戏爱好者的在线论坛可能会出现不适合他们年龄的话题和语言。下面的案例研究展示了如何基于从电子游戏论坛中提取的微信息的互动分析主题线程,使我们能够识别与处理这一特定类型内容相关的挑战。以主题检测算法为目标,对一种原始的交互组分割技术进行了评估。尽管大量的微信高度分散,充满了表情符号,并且包含与每个社区和电子游戏相关的俚语;根据与电子游戏类别相关的年龄,可以发现不合适的话题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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