document-classification

Text Classification Algorithms: A Survey

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

Hierarchical Attention Networks for Document Classification in PyTorch

PyTorch deep learning models for document classification

Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will probably not be addressed.

Hierarchical Attention Networks for document classification

A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI )

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

HDLTex: Hierarchical Deep Learning for Text Classification

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

Implementation of Hierarchical Attention Networks in PyTorch

This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Combating Embedding Barrier in Multilingual Models for Low-Resource Language Understanding".

TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension

TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"

PyTorch implementation of some text classification models (HAN, fastText, BiLSTM-Attention, TextCNN, Transformer) | 文本分类

Helps you organizing your paperwork

📚 Text classification library with Keras

Character-level CNN for text classification

Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks

GroupDocs.Classification-for-.NET samples and showcase (text and documents classification and sentiment analysis)

The Tensorflow implementation of accepted ACL 2018 paper "A deep relevance model for zero-shot document filtering", Chenliang Li, Wei Zhou, Feng Ji, Yu Duan, Haiqing Chen, http://aclweb.org/anthology/P18-1214

Very deep CNN for text classification

The open-sourced version of the award-winning Qiqqa research management tool for Windows (a bleeding edge dev fork) ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ☞☞☞ File any issues you find in the main repo issue tracker at https://github.com/jimmejardine/qiqqa-open-source/issues

3HAN: A Deep Neural Network for Fake News Detection: https://www.researchgate.net/publication/319306895_3HAN_A_Deep_Neural_Network_for_Fake_News_Detection

A PyTorch implementation of the document classification by Hierarchical Attention Network

Character-level CNN for text classification

A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification

Hierarchical-Attention-Network