Character-level-cnn-tensorflow and Char-level-CNN-for-Text-Classification-in-Keras

These two tools are competitors, as both implement character-level CNNs for text classification but use different deep learning frameworks, TensorFlow and Keras, respectively, meaning a user would choose one framework's implementation over the other.

Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 17/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 10/25
Stars: 28
Forks: 11
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 6
Forks: 1
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Character-level-cnn-tensorflow

vietnh1009/Character-level-cnn-tensorflow

Character-level CNN for text classification

This tool helps categorize text documents like news articles or product reviews into predefined groups, even when dealing with very short or informal text. You provide your raw text data, and it classifies each piece, telling you what category it belongs to. This is useful for data analysts, content managers, or anyone needing to sort large volumes of text efficiently.

text categorization content management sentiment analysis prep review classification news topic detection

About Char-level-CNN-for-Text-Classification-in-Keras

blues-lin/Char-level-CNN-for-Text-Classification-in-Keras

Character-level Convolution Neural Network for Text Classification in Keras

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