character-based-cnn and CharCNN
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.
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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