Topic Modelling for Humans
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Updated
Sep 1, 2024 - Python
Topic Modelling for Humans
all kinds of text classification models and more with deep learning
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
A fast, efficient universal vector embedding utility package.
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
Compute Sentence Embeddings Fast!
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
Implementation of State-of-the-art Text Classification Models in Pytorch
中文文本分类任务,基于PyTorch实现(TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention, DPCNN, Transformer,Bert,ERNIE),开箱即用!
Simple embedding based text classifier inspired by fastText, implemented in tensorflow
🌸 fastText + Bloom embeddings for compact, full-coverage vectors with spaCy
all kinds of baseline models for long text classificaiton( text categorization)
cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information
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