The purpose of this assignment is to compute the sentiment of text information - in our case, tweets posted in 2015 regarding US airlines - and answer the research question: “What can public opinion on Twitter tell us about the US airlines in 2015?” The goal is to essentially use sentiment analysis on Twitter data to get insight into the people’s opinions on US airlines.
- understand and explore employment in the data science community, as represented in a survey conducted by Kaggle.
- train, validate, and tune multiple regressors that can predict, given a set of survey responses by a data scientist, what a survey respondent’s current yearly compensation is.