RandolphVI/Text-Pairs-Relation-Classification
About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.
About Muti-Label Text Classification Based on Neural Network.
$ git clone https://github.com/RandolphVI/Multi-Label-Text-Classification.gitAbout Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.
多标签文本分类,多标签分类,文本分类, multi-label, classifier, text classification, BERT, seq2seq,attention, multi-label-classification
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。
multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification
Data from GitHub · snapshot Sep 24, 2026