Text Classification
Renovamen/Text-Classification
PyTorch implementation of some text classification models (HAN, fastText, BiLSTM-Attention, TextCNN, Transformer) | 文本分类
🧠 Natural Language Processing
PythonMITupdated Apr 22, 2021
Hierarchical Attention Networks for document classification
$ git clone https://github.com/vietnh1009/Hierarchical-attention-networks-pytorch.gitPyTorch implementation of some text classification models (HAN, fastText, BiLSTM-Attention, TextCNN, Transformer) | 文本分类
A collection of Natural language processing pre-trained models.
用MLP、TextCNN、RNN、LSTM、GRU、Attention、RCNN、BERT做文本分类、情感分析,对比各模型于温泉旅游评论垂类语料下在情感分类任务上的表现
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
Active Learning for Text Classification in Python
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
Data from GitHub · snapshot Sep 24, 2026