在TensorFlow中實作文本分類的卷積神經網絡

在TensorFlow中實作文本分類的卷積神經網絡

Github提供了完整的代碼：

https://github.com/dennybritz/cnn-text-classification-tf

在這篇文章中，我們将實作一個類似于Kim Yoon的卷積神經網絡語句分類的模型。 本文提出的模型在一系列文本分類任務（如情緒分析）中實作了良好的分類性能，并已成為新的文本分類架構的标準基準。

我假設你已經熟悉了應用于NLP的卷積神經網絡的基礎知識。 如果沒有，我建議先閱讀NLP的了解卷積神經網絡，以獲得必要的背景。

Implementing a CNN for Text Classification in TensorFlow

The full code is available on Github.

In this post we will implement a model similar to Kim Yoon’s Convolutional Neural Networks for Sentence Classification. The model presented in the paper achieves good classification performance across a range of text classification tasks (like Sentiment Analysis) and has since become a standard baseline for new text classification architectures.

I’m assuming that you are already familiar with the basics of Convolutional Neural Networks applied to NLP. If not, I recommend to first read over Understanding Convolutional Neural Networks for NLP to get the necessary background.

原文連結：

http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/

更多教程：

http://www.tensorflownews.com/