Char-CNN-for-Text-Classification and CharCNN

CharCNN
26
Experimental
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 8/25
Maintenance 0/25
Adoption 5/25
Maturity 8/25
Community 13/25
Stars: 8
Forks: 1
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 9
Forks: 2
Downloads:
Commits (30d): 0
Language: Python
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

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

About CharCNN

protonx-tf-03-projects/CharCNN

Implementation of paper: Character-level Convolutional Networks for Text Classification

This project helps data science practitioners classify English sentences. You provide a CSV file with sentences and their corresponding labels (like positive/negative sentiment), and it processes this to build a classification model. The output is a trained model that can then take new sentences and predict their labels, delivered in a new CSV file. This is for data scientists or NLP engineers who need to categorize text.

text-classification sentiment-analysis natural-language-processing data-labeling text-categorization

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