DBPedia

Citation Author(s):
Xiang
Zhang
Junbo
Zhao
Yann
LeCun
Submitted by:
Shivani Malhotra
Last updated:
Tue, 07/13/2021 - 06:13
DOI:
10.21227/pm0y-kr98
License:
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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.

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