character-based-cnn and CharCNN

character-based-cnn
48
Emerging
CharCNN
26
Experimental
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 0/25
Adoption 5/25
Maturity 8/25
Community 13/25
Stars: 262
Forks: 54
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 character-based-cnn

ahmedbesbes/character-based-cnn

Implementation of character based convolutional neural network

This project offers a character-level convolutional neural network designed for text classification. It takes raw text data, such as customer reviews or social media posts, and classifies it into predefined categories, like positive or negative sentiment. This tool is ideal for data scientists, natural language processing engineers, or researchers working with text data who need an efficient way to categorize text.

text-classification sentiment-analysis customer-feedback-analysis natural-language-processing data-science

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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