Add some details to project description

[EllaNancyFay]

No description provided.

[MisaOgura]

Love it!

are there any links where we can find more about the stats you presented? it would be nice if you could summarise the findings in here if not! :)

also can you add names and details of the contributors?

thanks!!

[eddiejaoude]

I just watched the presentation again, and I love the badges idea for how safe/inclusive a project has been ❤️ 🤓 . Please can someone share links to the current project codebase? I hope this will continue to move forward, but if not, I definitely see it being picked up a future hackathon

[eddiejaoude]

I came across this for sentiment for the comments, that might be useful.

This demo shows how to perform text sentiment analysis on text using the Layers API of TensorFlow.js.

Two model variants are provided (CNN and LSTM). These were trained on a set of 25,000 movie reviews from IMDB, labelled as having positive or negative sentiment. This dataset is provided by Python Keras, and the models were trained in Keras as well, based on the imdb_cnn and imdb_lstm examples.

https://github.com/tensorflow/tfjs-examples/tree/master/sentiment