Product Review Sentiment Analysis by Artificial Neural Network Algorithm

Tri Astuti, Irnawati Pratika
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引用次数: 3

Abstract

Buying and selling and marketing goods and services are now done online. The online store provides facilities that enable its customers to provide review related products offered. The number of reviews received by the store, online sometimes does not allow the store online to analyze one by one. Thus, it takes the help of machines to assist in the analysis of such sentiments. Analysis of the sentiments of the review the product is done to help the shop get a general overview related to the level of consumer satisfaction. In this study, the ANN algorithm will be used to analyze sentiment for review. A product ANN algorithm used because it can provide high accuracy performance. This research resulted in a reasonably high accuracy performance is 88.2%.
基于人工神经网络算法的产品评论情感分析
买卖和营销商品和服务现在都是在网上完成的。在线商店提供的设施使其客户能够提供与所提供的产品相关的评论。网店收到的评论数量,有时不允许网店网店逐一分析。因此,需要机器的帮助来协助分析这种情绪。对评论产品的情绪进行分析是为了帮助商店获得与消费者满意度相关的总体概况。在本研究中,将使用人工神经网络算法来分析评论的情感。一种乘积人工神经网络算法被采用,因为它能提供较高的精度性能。研究结果表明,该方法的准确率达到了88.2%。
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