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SYSTEMS AND METHODS USING ARTIFICIAL INTELLIGENCE TO ANALYZE NATURAL LANGUAGE SOURCES BASED ON PERSONALLY-DEVELOPED INTELLIGENT AGENT MODELS

机译:基于个性化智能代理模型的人工智能分析自然语言资源的系统和方法

摘要

A system and method for creating an intelligent agent model for providing an expert opinion on source data includes obtaining at least one first data source for training an intelligent agent model, receiving training input on the at least one first data source from an individual, extracting a set of relevant attributes of the at least one first data source based on the received training input, weighting the set of relevant attributes based on at least one of the received training input or prior received training input, forming at least one neural network that comprises the intelligent agent model based on the set of relevant attributes and the weighting, ranking or scoring at least one section of a second data source using the intelligent agent model, and outputting the ranking or scoring.
机译:一种用于创建用于提供关于源数据的专家意见的智能代理模型的系统和方法,包括:获得至少一个用于训练智能代理模型的第一数据源;从个人接收关于至少一个第一数据源的训练输入;基于所接收的训练输入的至少一个第一数据源的相关属性的集合,基于所接收的训练输入或先前接收的训练输入中的至少一个对相关属性的集合进行加权,从而形成至少一个神经网络,该神经网络包括:智能代理模型基于一组相关属性以及使用智能代理模型对第二数据源的至少一个部分进行加权,排名或评分,并输出排名或评分。

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