基于情感分析的文本检索系统的研究

Research on Text Retrieval System Based on Emotional Analysis

针对目前文本挖掘的情感分析方法的准确性、实时性、提取等问题,构造一种神经网络混合模式,使用记忆神经网络和卷积神经网络对文本特性的提取,再利用情感分析方法进行挖掘。实验表明对文本挖掘的准确性提高了,这种模式在应用中有很大的实用性。

In order to solve the problems of accuracy,real-time and extraction of emotion analysis methods in text mining,a hybrid model of neural network is constructed,and memory neural network and convolution neural network are used to extract text characteristics.And then use the method of emotional analysis to carry out mining.The experimental results show that the accuracy of text mining is improved,and this pattern is very practical in application.