text_classification and Deep-Survey-Text-Classification

About text_classification

brightmart/text_classification

all kinds of text classification models and more with deep learning

Implements 12+ deep learning architectures (TextCNN, BiLSTM, Transformer, Dynamic Memory Networks, Entity Networks) with unified interfaces for single and multi-label classification tasks. Supports casting classification as sequence generation via seq2seq models, and includes boosting ensembles that progressively focus on mislabeled examples. Built on TensorFlow with pre-processed datasets and HDF5 caching for efficient training on millions of samples.

About Deep-Survey-Text-Classification

bicepjai/Deep-Survey-Text-Classification

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.