Title: Character-level Convolutional Networks for Text Classification
Authors: Xiang Zhang, Junbo Zhao, Yann LeCun
Published: 4th September 2015 (Friday) @ 22:31:53
Link: http://arxiv.org/abs/1509.01626v3
Abstract
This article offers an empirical exploration on the use of character-level convolutional networks (ConvNets) for text classification. We constructed several large-scale datasets to show that character-level convolutional networks could achieve state-of-the-art or competitive results. Comparisons are offered against traditional models such as bag of words, n-grams and their TFIDF variants, and deep learning models such as word-based ConvNets and recurrent neural networks.