This code implements a simple CNN model for document classification with tensorflow.
Text classifier for Hierarchical Attention Networks for Document Classification
Hierarchical Attention Networks for document classification
PyTorch deep learning models for document classification
Hierarchical Attention Networks for Document Classification in PyTorch
architectures and pre-trained models for long document classification.
超长文本分类（大于1000字）；文档级/篇章级文本分类；主要是解决长距离依赖问题
Enriching BERT with Knowledge Graph Embedding for Document Classification (PyTorch)
document classification using LSTM + self attention
Transformer-based Long Document Classification
chinese document classification of layoutlmv3 and layoutxlm
Document Classification and Post-OCR Key Value Extraction
Hierarchical Attention Networks for Document Classification in PyTorch
ECTD Document Classification using sklearn and Machine Learning
Document classification with Apache Spark on an American Classic
My implementation of "Hierarchical Attention Networks for Document Classification" in Keras
Code and dataset for ACL2018 paper "Exploiting Document Knowledge for Aspect-level Sentiment Classification"
[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"
Text classification on the medical abstracts in OHSUMED dataset