Character-level-cnn-tensorflow and char-cnn-text-classification-tensorflow

Both are independent re-implementations of the Character-level Convolutional Networks for Text Classification paper using TensorFlow, making them direct competitors offering similar functionality.

Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 17/25
Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 21/25
Stars: 28
Forks: 11
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 72
Forks: 38
Downloads:
Commits (30d): 0
Language: Python
License:
Stale 6m No Package No Dependents
No License 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-cnn-text-classification-tensorflow

lc222/char-cnn-text-classification-tensorflow

Character-level Convolutional Networks for Text Classification论文仿真实现

This project helps machine learning researchers and practitioners understand and replicate the 'Character-level Convolutional Networks for Text Classification' paper. It provides a working implementation of a character-level convolutional neural network, which takes raw text as input and classifies it into predefined categories. This is valuable for those studying or applying advanced text classification techniques.

Machine-Learning-Research Text-Classification Natural-Language-Processing Deep-Learning Academic-Replication

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