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

These tools are competitors because they are both independent PyTorch implementations of character-level CNNs for text classification.

Maintenance 0/25
Adoption 8/25
Maturity 16/25
Community 18/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 8/25
Stars: 56
Forks: 16
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 8
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-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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