GitHub repository: luis-valverde/TV-Script-Generation
Primary language: HTML
Created: 2020-09-23T00:46:49Z
Description: The goal in this project was to perform sentiment analysis using a Recurrent Neural Network (RNN) to generate a TV script that resembles a training set. To accomplish this, I applied data pre-processing techniques (lookup table and tokenize punctuation). Then, implemented an RNN with PyTorch using a Long Short-Term Memory (LSTM) network to avoid the long-term dependency problem and trained the neural network on the pre-processed data tracking the loss to avoid overfitting. Finally, I modified model hyperparameters (learning rate, batch size, layers in RNN) to achieve a better loss and faster converge.