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
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
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
Implementation of State-of-the-art Text Classification Models in Pytorch
A fast, efficient universal vector embedding utility package.
Simple embedding based text classifier inspired by fastText, implemented in tensorflow
all kinds of baseline models for long text classificaiton( text categorization)
A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.
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!
Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...
Exploring the simple sentence similarity measurements using word embeddings
Sentence Classifications with Neural Networks
Yet another Python binding for fastText
Using pre trained word embeddings (Fasttext, Word2Vec)
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