RandolphVI/Multi-Label-Text-Classification
About Muti-Label Text Classification Based on Neural Network.
About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.
$ git clone https://github.com/RandolphVI/Text-Pairs-Relation-Classification.gitAbout Muti-Label Text Classification Based on Neural Network.
嵌入Word2vec词向量的RNN+ATTENTION中文文本分类
Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》
Macadam是一个以Tensorflow(Keras)和bert4keras为基础,专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。
Data from GitHub · snapshot Sep 24, 2026