Skip to content

Sridhar98/CharCNN_text_classification

Repository files navigation

CharCNN_text_classification CodeFactor

Abstract

This repository contains aPyTorch implementation and extension of Character-level Convolutional Networks for Text Classification Xiang Zhang, Junbo Zhao and Yann LeCun (2015). Empirical results demonstrate the effectiveness of treating text at the character level and applying convolutional networks (ConvNets) for text classification on various datasets. An ablation study and test on a sarcasm detection dataset provide further insights into the architecture.

A full report can be viewed here

This was inspired by the repositories of ahmedbesbes and doxawang

test accuracy test error

train loss learning rate

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published