Sentiment analysis of market influencers
The sentiment machine learning pipeline will predict whether the sentiment over a stock ticker is positive or negative on social media and provide it as an API to the users of the machine learning platform that we are developing in this book.
Problem statement
To predict whether a given stock ticker has positive sentiment for the current day of relevant market influencers on Twitter selected by PsyStock LLC.
Success and failure definition
Success, in this case, is a bit harder to define, as the fact of a sentiment being positive can't exactly be tracked to a market metric. The definition of success on this particular prediction problem should be a proxy for how many times a user is a repeat user of the API.
Model output
The model output is basically a number matching the polarity of the tweet – positive, negative, or neutral sentiment – of a ticker.
