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An experimental study based on Fuzzy Systems and Artificial Neural Networks to estimate the importance of reviews about product and services

机译：基于模糊系统和人工神经网络的实验研究，以评估有关产品和服务的评论的重要性

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With the evolution of e-commerce and Online Social Networks, the web information has constantly increased, so the relevance to create methods for automatic knowledge extraction and data mining earned notoriety. Information as opinion evaluation is a point studied by Sentiment Analysis area, which is becoming important nowadays. Be aware of the best reviews is a factor that must be taken into account. Sousa et al. proposed an approach to estimate the degree of importance of reviews about product and services using Fuzzy System, reporting good results. This work proposes an experimental study between their approach using Fuzzy Systems and an execution using Artificial Neural Network to verify which is the most appropriate to solve the problem to estimate the importance of reviews.
机译：随着电子商务和在线社交网络的发展，网络信息不断增加，因此创建自动知识提取和数据挖掘方法的相关性引起了人们的关注。信息作为意见评估是情感分析领域研究的一个重点，在当今正变得越来越重要。注意最好的评论是必须考虑的因素。苏萨（Sousa）等人。提出了一种使用模糊系统评估产品和服务评论的重要性的方法，可以报告良好的结果。这项工作提出了使用模糊系统的方法与使用人工神经网络的执行方法之间的实验研究，以验证哪种方法最适合解决问题，从而评估评论的重要性。

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