All good data science projects start with a question. We wanted a social network question not tied to a current political or societal context. We will be looking into the popularity of vegetables on twitter. We want to know what the most popular vegetables on twitter are. It's a question that could stand the test of time and be adapted to other lists of things, such as fruits, beverages, weather conditions, animals, and even brands and politicians. The results will surprise you... or not.
We will start by training a binary classification Amazon ML model using a large public twitter sentiment analysis dataset.
There are many available sentiment analysis libraries that can, with a few lines of code, and given a ...
