Char-CNN-for-Text-Classification and CharCNN
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.
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.
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