# luopeixiang/textclf

<https://repo.masters-masters.com/en/repos/luopeixiang/textclf>

[Home](https://repo.masters-masters.com/en) › [luopeixiang](https://repo.masters-masters.com/en/owners/luopeixiang) › [textclf](https://repo.masters-masters.com/en/repos/luopeixiang/textclf)

luopeixiang/textclf has 245 stars on GitHub. Its RepoMasters card: Prototype tier. TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、D…

| Field | Value |
| --- | --- |
| Owner | [luopeixiang](https://repo.masters-masters.com/en/owners/luopeixiang) |
| Stars | 245 |
| Forks | 40 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | sentiment-analysis, document-classification, svm, logistic-regression, cnn-text-classification, lstm-text-classification, sklearn-classify, pytorch, textcnn, textrnn |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [luopeixiang/textclf](https://github.com/luopeixiang/textclf) |

## Repository

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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