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 )

HDLTex: Hierarchical Deep Learning for Text Classification

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

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。

This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…

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

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"

Helps you organizing your paperwork

Character-level CNN for text classification

📚 Text classification library with Keras

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