char-cnn-text-classification-tensorflow and CharCNN
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.
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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