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

These tools are competitors, as they both implement character-level CNNs for text classification but use different deep learning frameworks, PyTorch and Keras respectively, requiring a user to choose one based on their preferred library.

Maintenance 0/25
Adoption 8/25
Maturity 16/25
Community 18/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 10/25
Stars: 56
Forks: 16
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-pytorch

vietnh1009/Character-level-cnn-pytorch

Character-level CNN for text classification

This project helps classify text documents into predefined categories, like sorting news articles by topic or categorizing customer reviews by sentiment. You input raw text data, and it outputs a classification for each document. This is for data scientists or researchers who need to automatically categorize large volumes of text.

text-classification document-categorization natural-language-processing sentiment-analysis news-topic-modeling

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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