Disney Sentimentron

A web app which classifies the sentiment of Disneyland review(s). The user review is sent as input to a pre-trained model that returns an output describing the sentiment as either positive or negative.

The Disneyland-Reviews dataset was used for training the model. The model itself is very basic consisting of an input layer, an embedding layer, 1D global average pooling layer and a dense layer as the output layer. The model was compiled using the binary crossentropy loss function and adam optimizer.

How to run

Install the libraries and run with streamlit.

pip install -r requirements.txt
streamlit run nlp.py

The app will open with the default web browser

<script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>

Tasks

• Add jupyter notebook