运用NLP算法和BP神经网络系统分析商品评论数据

Using NLP algorithm and BP neural network system to analyze commodity review data

网上购物已成为人们的主流购物方式之一。与此同时,在线平台的大量商品评论信息成为产品评估及销量预测的重要信息。文章利用NLP算法和BP神经网络构建起对商品评论的分析预测模型,很好地实现了分析预测功能,同时依据结果提出了针对性意见。

Online shopping has become one of our mainstream shopping methods.At the same time,a large amount of product review information has become important information for product evaluation and sales forecast.In this paper,we use the NLP algorithm and BP neural network to build an analysis and prediction model for product reviews,which well implements the analysis and prediction function,and at the same time puts forward targeted opinions based on the results.