char-cnn-text-classification-tensorflow and char-CNN-text-classification-tensorflow

These two tools are competitors, as both are independent TensorFlow implementations of the "Character-level Convolutional Networks for Text Classification" paper, offering alternative codebases for the same task.

Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 21/25
Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 21/25
Stars: 72
Forks: 38
Downloads:
Commits (30d): 0
Language: Python
License:
Stars: 35
Forks: 35
Downloads:
Commits (30d): 0
Language: Python
License:
No License Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

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

About char-CNN-text-classification-tensorflow

Irvinglove/char-CNN-text-classification-tensorflow

the implement of text understanding from scratch

This project helps classify news articles into categories directly from their raw text. You feed in the text of news articles, and it outputs predictions about what category each article belongs to (e.g., sports, politics, business). It's designed for anyone needing to automatically sort or organize large collections of text, particularly news content, without needing pre-processed data.

news-categorization content-management text-classification information-organization media-analysis

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