# Character-level Convolutional Network for Text Classification Applied to Chinese Corpus

arXiv: https://arxiv.org/abs/1611.04358 · HTML: https://mlsanity.com/paper/1611.04358/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 Nov 2016.

## Built on by (most cited first, 1 of 1)

- [CAE: Character-Level Autoencoder for Non-Semantic Relational Data Grouping](https://mlsanity.com/paper/2511.07657/) (2025)

## Abstract (arXiv)

This article provides an interesting exploration of character-level convolutional neural network solving Chinese corpus text classification problem. We constructed a large-scale Chinese language dataset, and the result shows that character-level convolutional neural network works better on Chinese corpus than its corresponding pinyin format dataset. This is the first time that character-level convolutional neural network applied to text classification problem.