char-cnn-text-classification-tensorflow and Char-CNN-for-Text-Classification

These two tools are competitors, as both are independent implementations of the "Character-level Convolutional Networks for Text Classification" paper, likely offering similar functionality for text classification based on character-level features.

Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 21/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 8/25
Stars: 72
Forks: 38
Downloads:
Commits (30d): 0
Language: Python
License:
Stars: 8
Forks: 1
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No License Stale 6m No Package No Dependents
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-for-Text-Classification

MingtaoGuo/Char-CNN-for-Text-Classification

Character-level Convolutional Networks for Text Classification

This tool helps categorize articles, posts, or any short text snippets into predefined categories like 'sports' or 'business'. You provide a collection of text documents, each with a category label, and the system learns to sort new, unlabeled texts. This is ideal for content managers, researchers, or anyone needing to automatically organize large volumes of textual information.

content-categorization news-classification document-sorting text-analysis information-organization

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