textClassify-keras

模型

1 FastText

FastText 在论文 Bag of Tricks for Efficient Text Classification 中被提出。

1.1 论文的描述

1. Using a look-up table, bags of n-gram convert to word representations.
2. Word representations are averaged into a text representation, which is a hidden variable.
3. Text representation is in turn fed to a linear classifier.
4. Using the softmax function to compute the probability distribution over the predefined classes.（使用softmax函数计算预定义类的概率分布）

1.2 此处的实现

FastText 的网络结构：