waimaoer / machine_learning_pytorch_simple_cnn_1d_nlp

The purpose of this notebook is to demonstrate how to build a simple one dimensionnal CNN to do text classification. The dataset used in this notebook is the "Twitter Sentiment Analysis" dataset. The goal of the network is to be able to predict whether a given has a positive or a negative sentiment.

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Simple 1D CNN for text classification in PyTorch.

The purpose of this notebook is to demonstrate how to build a simple one dimensionnal CNN to do text classification. The dataset used in this notebook is the "Twitter Sentiment Analysis" dataset. The goal of the network is to be able to predict whether a given has a positive or a negative sentiment.

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The purpose of this notebook is to demonstrate how to build a simple one dimensionnal CNN to do text classification. The dataset used in this notebook is the "Twitter Sentiment Analysis" dataset. The goal of the network is to be able to predict whether a given has a positive or a negative sentiment.


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