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Gender Recognition Based on Social Networks for Multimedia Production

机译:基于社交网络的性别识别在多媒体制作中的应用

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The proliferation of social media enables the development of innovative services for extracting insights about audience behaviour dynamics. Social media analytics allow the identification of demographics and interests of audiences that are valuable data considered by content producers, in principle driving the overall multimedia production process. This paper introduces and evaluates a lightweight and efficient mechanism for identifying Twitter users' gender that is coupled with content trend discovery and is exploited within multimedia production.
机译:社交媒体的普及使创新服务的发展成为可能,以获取有关受众行为动态的见解。社交媒体分析允许识别受众特征和受众兴趣,这些内容是内容制作者考虑的宝贵数据,原则上可以驱动整个多媒体制作过程。本文介绍并评估了一种轻量,高效的机制,用于识别Twitter用户的性别,该机制与内容趋势发现相结合,并在多媒体生产中得到了利用。

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