Chapter 6 - Convolutional Neural Networks

This case study explores sentiment analysis using convolutional neural networks on the public, U.S. airlines dataset.

Requirements

The docker images for this case study are located on dockerhub. Running the commands below will automatically download and start a jupyter notebook.

Download the embeddings files into the embeddings directory.

Run the Docker image for CPU only computation:

docker run -p 8888:8888 -v ${PWD}/embeddings:/workspace/embeddings  springernlp/chapter_6:latest

docker build -t chapter_6:latest .

Name	Name	Last commit message	Last commit date
Latest commit History 3 Commits
data	data
figs	figs
.dockerignore	.dockerignore
.gitignore	.gitignore
Dockerfile	Dockerfile
README.md	README.md
Sentiment Analysis Classification.ipynb	Sentiment Analysis Classification.ipynb
Theory on Convolutions and Kernels.ipynb	Theory on Convolutions and Kernels.ipynb