char-cnn-text-classification-tensorflow and CharCNN

CharCNN
26
Experimental
Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 21/25
Maintenance 0/25
Adoption 5/25
Maturity 8/25
Community 13/25
Stars: 72
Forks: 38
Downloads:
Commits (30d): 0
Language: Python
License:
Stars: 9
Forks: 2
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 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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