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

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

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

📚 Text classification library with Keras

Helps you organizing your paperwork

Character-level CNN for text classification

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

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

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

Character-level CNN for text classification

A PyTorch implementation of the document classification by Hierarchical Attention Network

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

Implementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles"

NLP in python Vector Space Modelling and document classification NLP

Python implementation of bag-of-concepts