基于pytorch进行文本多分类,主要模型为双向LSTM,预测准确率83%. Contribute to tin-shine/TextClassification development by creating an account on GitHub.
pytorch-textclassification pytorch-textclassification是一个以pytorch和transformers为基础,专注于文本分类的轻量级自然语言处理工具包。支持中文长文本、短文本的多类分类和多标签分类。 目录数据使用方式pap…
c_0 = torch.zeros(self.lstm.num_layers, batch_size, self.lstm.hidden_size).to(x.device) x, (h_n, c_n) = self.lstm(x, (h_0, c_0)) x = self.dropout(h_n[-1]) x = self.fc(x) return x 自搭版本: import torch import torch.nn as nn class CustomLSTMLayer(nn.Module): ...
E:\other\lightvit\Chinese-Text-Classification-PyTorch\pytorch_pretrained\optimization.py:275: UserWarning: This overload of add_ is deprecated: add_(Number alpha, Tensor other) Consider using one of the following signatures instead: add_(Tensor other, *, Number alpha) (Triggered internally at C:...
This is for multi-class short text classification. Model is built with Word Embedding, LSTM ( or GRU), and Fully-connected layer byPytorch. A mini-batch is created by 0 padding and processed by using torch.nn.utils.rnn.PackedSequence. ...
Chinese-Text-Classification Github项目地址: https:///JackHCC/Chinese-Text-Classification-PyTorch 作者:JackHCC 中文文本分类,基于pytorch,开箱即用。 神经网络模型:TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention, DPCNN, Transformer 预训练模型:Bert,ERNIE ...
KimCNN is a classic text classification model based on CNN; C-LSTM first uses CNN to extract phrase-level semantic features, which are then sent to LSTM to determine the contextual dependencies between words; Capsule-A is a text classification model based on capsule networks; Syntax AT Capsule...
(ME), forbinary classificationof text parts into ADR and non-ADR categories. They used three datasets to train these three models. The best performance was an accuracy of 77% for theSupport Vector MachineonADEdataset. But as can be seen inTable 4,Table 5the result obtained by using RNN,...
Fine-Tune BERT for Spam Classification Now we will fine-tune a BERT model to perform text classification with the help of the Transformers library. You should have a basic understanding of defining, training, and evaluating neural network models in PyTorch. If you want a quick refresher on...
A Benchmark of Text Classification in PyTorch:https://github.com/pengshuang/TextClassificationBenchmarkFastText BasicCNN (KimCNN,MultiLayerCNN, Multi-perspective CNN) InceptionCNN LSTM (BILSTM, StackLSTM) LSTM with Attention (Self Attention / Quantum Attention) Hybrids between CNN and RNN (RCNN, ...