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text_sentiment_classification's Introduction

Text_sentiment_classification

采用LSTM模型对中文文本进行感情分类

介绍

搭建卷积神经网络，使用固定预料训练来实现对文本感情色彩分类。

原理

中文分词

使用jieba分词工具直接分词。

词语映射

使用doc2num将文本映射成为高维向量。

搭建网络

使用LSTM模型训练，迭代30次。

进行预测

预测结果分为两类：积极的和消极的

说明

预测结果

[[1]]代表积极文本 [[0]]代表消极文本

素材说明

neg.xls和pos.xls以及sum.xls保存了训练以及检测使用的语料

text_sentiment_classification's People

Contributors

jaschenn avatar

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