# cezannec/CNN\_Text\_Classification

<https://repo.masters-masters.com/en/repos/cezannec/CNN_Text_Classification>

[Home](https://repo.masters-masters.com/en) › [cezannec](https://repo.masters-masters.com/en/owners/cezannec) › [CNN\_Text\_Classification](https://repo.masters-masters.com/en/repos/cezannec/CNN_Text_Classification)

cezannec/CNN\_Text\_Classification has 115 stars on GitHub. Its RepoMasters card: Prototype tier. A PyTorch CNN for classifying the sentiment of movie reviews…

| Field | Value |
| --- | --- |
| Owner | [cezannec](https://repo.masters-masters.com/en/owners/cezannec) |
| Stars | 115 |
| Forks | 19 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2019 |
| Topics | pytorch, cnn-text-classification, pytorch-tutorial, word2vec |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [cezannec/CNN\_Text\_Classification](https://github.com/cezannec/CNN_Text_Classification) |

## Repository

A PyTorch CNN for classifying the sentiment of movie reviews, based on the paper "Convolutional Neural Networks for Sentence Classification" by Yoon Kim (2014).

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

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