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System and Method Using Deep Learning Machine Vision to Conduct Comparative Campaign Analyses

机译:利用深度学习机愿景进行比较活动分析的系统和方法

摘要

At least one embodiment of the disclosed system is directed to computer-implemented method for using machine vision to categorize a locality to conduct lead mining analyses. Embodiments of the method may include: generating locality profile scores and economic categorization for each locality of a plurality of localities, the locality profile score for each locality being derived through neural network analyses of map images of the locality, the economic categorization being derived through neural network analyses of images of entities within the locality; and generating a lead score for each entity in the locality group as a function of the locality profile score for the locality in which the entity is located, the economic categorization of the locality in which the entity is located, and campaign vehicles used in the locality in which the entity is located.
机译:所公开系统的至少一个实施例涉及用于使用机器视觉的计算机实现的方法,以对局部进行分类以进行引导挖掘分析。该方法的实施例可以包括:为多个本地的每个局部产生地区型谱分数和经济分类,通过局部地图图像的神经网络分析来导出的每个局部性的位置分辨率,经济分类通过神经衍生网站内实体图像的网络分析;并为位置组中的每个实体生成引线得分,作为实体所在的局部性的局部性简档分数的函数,所以实体所在的本地的经济分类,以及在本地中使用的竞选车辆其中实体位于其中。

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