《Sequential Short-Text Classification with Neural Networks》读书笔记
一、在Forward Sequential Short-Text Classification这章中主要介绍了一种通过利用文本序列信息来进行分类的方法 步骤： 1、短文本向量化： （1）利用word2vec向量化短文本 （2）利用RNN或者CNN二次向量化文本 2、训练分类器 利用普通的FNN即可，X为一个长度为l的短文本序列 假设第一层输入是：s[i-d1-d2:i]，输出是Y[i-d2:i]
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相关文章
- 1. 读书笔记：Large-scale Vedio Classification with Convolutional Neural Networks
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