jiangxinyang227/textClassifier
A TensorFlow implementation of CNN and RNN text classification models for sentiment analysis.
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This project builds multiple text classification models using convolutional neural networks (textCNN, charCNN) and recurrent neural networks for sentiment analysis on the IMDB movie review dataset. It includes data preprocessing, Word2Vec word vector pre-training, and implements models from NLP research papers. The repository provides Jupyter notebooks for model implementation and training using TensorFlow.
Frequently asked
- What is jiangxinyang227/textClassifier?
- A TensorFlow implementation of CNN and RNN text classification models for sentiment analysis.
- Is textClassifier open source?
- Yes — jiangxinyang227/textClassifier is an open-source project tracked on heatdrop.
- What language is textClassifier written in?
- jiangxinyang227/textClassifier is primarily written in Jupyter Notebook.
- How popular is textClassifier?
- jiangxinyang227/textClassifier has 1.1k stars on GitHub.
- Where can I find textClassifier?
- jiangxinyang227/textClassifier is on GitHub at https://github.com/jiangxinyang227/textClassifier.