Building a Sentiment Analysis Predictive Model - Supervised Machine Learning

This worflow uses a Kaggle Dataset, including 14K customer tweets towards six US airlines: Contributors annotated the valence of the tweet into positive, negative and neutral. Once users are satisfied with the model evaluation, they should export 1)Vector Space and 2)Trained Model, for deployment in non-annotated data.

This is a companion discussion topic for the original entry at

Can I use this workflow with my own Twitter dataset?

Yes absolutely, you just need to exchange the data source.