# jiegzhan/multi-class-text-classification-cnn

<https://repo.masters-masters.com/en/repos/jiegzhan/multi-class-text-classification-cnn>

[Home](https://repo.masters-masters.com/en) › [jiegzhan](https://repo.masters-masters.com/en/owners/jiegzhan) › [multi-class-text-classification-cnn](https://repo.masters-masters.com/en/repos/jiegzhan/multi-class-text-classification-cnn)

jiegzhan/multi-class-text-classification-cnn has 424 stars on GitHub. Its RepoMasters card: Alpha tier. Classify Kaggle Consumer Finance Complaints into 11…

| Field | Value |
| --- | --- |
| Owner | [jiegzhan](https://repo.masters-masters.com/en/owners/jiegzhan) |
| Stars | 424 |
| Forks | 193 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2016 |
| Topics | cnn, text-classification, tensorflow, convolutional-neural-networks, embeddings, sentence-classification, multi, keras |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [jiegzhan/multi-class-text-classification-cnn](https://github.com/jiegzhan/multi-class-text-classification-cnn) |

## Repository

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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