M2 ICP5

to discuss types of ANNs and Recurrent Neural Network.

Use Case Description:

1. Sentiment Analysis on the Twitter dataset

Programming elements:

1. Basics of LSTM
2. Types of RNN
3. Use case: Sentiment Analysis on the Twitter data set

Source Code: https://umkc.box.com/s/xrxrv8un2xen18yb1p9nq2xw70tm849g

In class programming:

1. Save the model and use the saved model to predict on new text data (ex, “A lot of good things are happening. We are respected again throughout the world, and that's a great thing.@realDonaldTrump”)
2. Apply GridSearchCV on the source code provided in the class
3. Apply the code on spam data set available in the source code (text classification on the spam.csv data set) Visualize Loss and Accuracy on the Tensorboard