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SYSTEM AND METHOD FOR COMPUTING CRITICAL DATA OF AN ENTITY USING COGNITIVE ANALYSIS OF EMERGENT DATA

机译:利用紧急数据的认知分析计算实体关键数据的系统和方法

摘要

SYSTEM AND METHOD FOR COMPUTING CRITICAL DATA OF AN ENTITY USING COGNITIVE ANALYSIS OF EMERGENT DATA55 System and method for computing critical data of multiple entities is provided. Elements, from a set of predetermined elements, are assigned to sentences of a first dataset associated with an entity of an industry type. Predetermined elements characterize reputation of entities of various industries. Features determined from sentences of first dataset are categorized into groups. Features of a new dataset of a different entity of said industry type are matched with grouped features and same groups are allotted thereto. Classification rules are applied on matched features. Elements are assigned to sentences of new dataset based on allotted groups, which elements are same as those assigned to first dataset. Reputation scores are generated for said entities by determining positive and negative sentiments from the first and new dataset. Steps of assigning elements and grouping are repeated for datasets associated with entities of different industry types for creating a taxonomy for them.
机译:使用紧急数据的认知分析计算实体的关键数据的系统和方法55提供了用于计算多个实体的关键数据的系统和方法。来自一组预定元素的元素被分配给与行业类型的实体相关联的第一数据集的句子。预定元素表征了各个行业实体的声誉。从第一数据集的句子确定的特征被分类为组。所述行业类型的不同实体的新数据集的特征与分组的特征匹配,并且向其分配相同的组。分类规则应用于匹配的要素。元素根据分配的组分配给新数据集的句子,这些元素与分配给第一个数据集的元素相同。通过从第一数据集和新数据集中确定正面和负面情绪,为所述实体生成声誉得分。对与不同行业类型的实体相关联的数据集重复分配元素和分组的步骤,以为其创建分类法。

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