/LSTM-Classifier-with-Hyperparameter-Tuning

A simple bidirectional LSTM Classifier to classify sentiments on a text. Hyperparameter tuning is done using Randomized CV Search to find best parameters for the deep learning model.

Primary LanguageJupyter Notebook

Before running the notebook, you will need to have the glove embeddings file in the same directory as of the project. You can either download it manually from http://nlp.stanford.edu/data/glove.6B.zip and unzip it int he same directory OR open a terminal and execute the following commands after navigating to the same directory as of the project folder:
1. wget http://nlp.stanford.edu/data/glove.6B.zip
2. unzip glove*.zip
3. rm *.zip glove.6B.50d.txt glove.6B.100d.txt glove.6B.200d.txt