This case study explores sentiment analysis using convolutional neural networks on the public, U.S. airlines dataset.
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 .
More information can be found at: Deep Learning for NLP and Speech Recognition by Springer