Character level convolutional networks for text classification
Abstract - This article offers an empirical exploration on the use of character-level convolutional networks (ConvNets) for text classification. We constructed several largescale 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. Paper - https://arxiv.org/abs/1509.01626 Code - https://github.com/zhangxiangxiao/Crepe Dataset - https://drive.google.com/drive/folders/1vz1aggtdhjdx455vnl7y1tw9exqhuhwx?usp=sharing